Achuthan, K., Sreelatha, K., Surendran, S., Diwakar, S., Nedungadi, P., Humphreys, S., CO, SS., Pillai, Z., Raman, R., Deepthi, A., et al. (2011). The value@ amrita virtual labs project: Using web technology to provide virtual laboratory access to students. In 2011 IEEE Global Humanitarian Technology Conference. IEEE, Seattle, (pp. 117–121).
Chapter
Google Scholar
Achuthan, K., Brahmanandan, S., Bose, L.S. (2015). Cognitive load management in multimedia enhanced interactive virtual laboratories. In Advances in Intelligent Informatics. Springer, Cham, (pp. 143–155).
Chapter
Google Scholar
Achuthan, K., Francis, S.P., Diwakar, S. (2017). Augmented reflective learning and knowledge retention perceived among students in classrooms involving virtual laboratories. Education and Information Technologies, 22(6), 2825–2855.
Article
Google Scholar
Achuthan, K., Kolil, V.K., Diwakar, S. (2018). Using virtual laboratories in chemistry classrooms as interactive tools towards modifying alternate conceptions in molecular symmetry. Education and Information Technologies, 23(6), 2499–2515.
Article
Google Scholar
Aikenhead, G.S. (2003). Chemistry and physics instruction: Integration, ideologies, and choices. Chemistry Education Research and Practice, 4(2), 115–130.
Article
Google Scholar
Ainsworth, S. (2008). How do animations influence learning. In Current perspectives on cognition, learning, and instruction: Recent innovations in educational technology that facilitate student learning. Information Age Publishing, Charlotte, (pp. 37–67).
Google Scholar
AlDahdouh, A.A. (2018). Jumping from one resource to another: how do students navigate learning networks?International Journal of Educational Technology in Higher Education, 15(1), 45.
Article
Google Scholar
Atkins, P., & De Paula, J. (2017). Elements of Physical Chemistry. United Kingdom: Oxford University Press. https://books.google.co.in/books?id=bCyhDQAAQBAJ.
Google Scholar
Avramiotis, S., & Tsaparlis, G. (2013). Using computer simulations in chemistry problem solving. Chemistry Education Research and Practice, 14(3), 297–311.
Article
Google Scholar
Aydın, YÇ, & Uzuntiryaki, E. (2009). Development and psychometric evaluation of the high school chemistry self-efficacy scale. Educational and Psychological Measurement, 69(5), 868–880.
Article
MathSciNet
Google Scholar
BAMU (2020). Syllabus of B.Sc iii year analytical chemistry, Dr Babasaheb Ambedkar Marathwada University, Aurangabad. http://www.bamu.ac.in/Portals/0/B\_Sc-III-Year-Syllabus-Sem\_-V-\%26-VI-. %5BAnalytical-Chemistry\%5D-2011.pdf. Accessed: 16 Mar.
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191.
Article
Google Scholar
Bandura, A. (1981). Self-referent thought: A developmental analysis of self-efficacy. Social cognitive development: Frontiers and possible futures, 200(1), 239.
Google Scholar
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of social and clinical psychology, 4(3), 359–373.
Article
Google Scholar
Bandura, A. (1989). Human agency in social cognitive theory. American psychologist, 44(9), 1175.
Article
Google Scholar
Bandura, A. (1997). Self-efficacy: The exercise of control. Macmillan. New York: Worth publishers.
Google Scholar
Bandura, A., & Walters, R.H. (1977). Social learning theory. Englewood Cliffs: Prentice-Hall.
Google Scholar
Bautista, N.U., & Boone, W.J. (2015). Exploring the impact of teachme™ lab virtual classroom teaching simulation on early childhood education majors’ self-efficacy beliefs. Journal of Science Teacher Education, 26(3), 237–262.
Article
Google Scholar
Ben-Eliyahu, A., & Linnenbrink-Garcia, L. (2013). Extending self-regulated learning to include self-regulated emotion strategies. Motivation and Emotion, 37(3), 558–573.
Article
Google Scholar
Betz, N.E., & Hackett, G. (1983). The relationship of mathematics self-efficacy expectations to the selection of science-based college majors. Journal of Vocational behavior, 23(3), 329–345.
Article
Google Scholar
Beydoğan, H., & Hayran, Z. (2015). The effect of multimedia-based learning on the concept learning levels and attitudes of students. Eurasian Journal of Educational Research, 15, 261 – 279. https://doi.org/10.14689/ejer.2015.60.14.
Article
Google Scholar
Boboev, L., Soliev, Z.M., Asrorkulov, F. (2018). The project title: The virtual laboratory and quality of education. In Vocational Teacher Education in Central Asia. Springer, Cham, (pp. 87–91).
Chapter
Google Scholar
Bowen, C.W. (1999). Development and score Validation of a chemistry laboratory anxiety instrument (Clai) for College Chemistry Students. Educational and Psychological Measurement, 59(1), 171–185. https://doi.org/10.1177/0013164499591012.
Article
Google Scholar
Breslow, R. (1993). Let’s put an end to ‘chemophobia’. Scientist, 7(6), 11.
Google Scholar
Bücker, S., Nuraydin, S., Simonsmeier, B.A., Schneider, M., Luhmann, M. (2018). Subjective well-being and academic achievement: A meta-analysis. Journal of Research in Personality, 74, 83–94.
Article
Google Scholar
Chemers, M.M., Hu, Lt., Garcia, B.F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational psychology, 93(1), 55.
Article
Google Scholar
Cobo-Rendón, R., Pérez-Villalobos, M.V., Páez-Rovira, D., Gracia-Leiva, M (2020). A longitudinal study: Affective wellbeing, psychological wellbeing self-efficacy and academic performance among first-year undergraduate students. Scandinavian Journal of Psychology.
Compeau, D.R., & Higgins, C.A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688.
Article
Google Scholar
Cook, A.F. (2013). Cook, Amanda F., (2013) Exploring Freshmen Coll ege Students’ Self-Efficacy, Attitudes, and Intentions Toward Chemistry. Honors College Capstone Experience/Thesis Projects. Paper 399. http://digitalcommons.wku.edu/stu_hon_theses/399.
Cooke, R., Bewick, B.M., Barkham, M., Bradley, M., Audin, K. (2006). Measuring, monitoring and managing the psychological well-being of first year university students. British Journal of Guidance & Counselling, 34(4), 505–517.
Article
Google Scholar
Dalgety, J., & Coll, R.K. (2006). Exploring first-year science students’ chemistry self-efficacy. International journal of science and mathematics education, 4(1), 97–116.
Article
Google Scholar
De Jong, T., Linn, M.C., Zacharia, Z.C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305–308.
Article
Google Scholar
DeVellis, R. (2016). Scale Development: Theory and Applications Applied Social Research Methods. California: SAGE Publication. https://books.google.co.in/books?id=48ACCwAAQBAJ.
DU (2011). Scheme of examination and courses of reading for B.Sc analytical chemistry, University of Delhi. http: //du.ac.in/du/uploads/old-ug-courses/1472011\_\%20B\%20Sc\_Analytical\_chem.pdf . Accessed 16 Mar 2020.
Dyrberg, N.R., Treusch, A.H., Wiegand, C. (2017). Virtual laboratories in science education: students’ motivation and experiences in two tertiary biology courses. Journal of Biological Education, 51(4), 358–374.
Article
Google Scholar
Eakman, A.M., Kinney, A.R., Schierl, M.L., Henry, K.L. (2019). Academic performance in student service members/veterans: Effects of instructor autonomy support, academic self-efficacy and academic problems. Educational Psychology, 39(8), 1005–1026.
Article
Google Scholar
Eddy, R.M. (2000). Chemophobia in the college classroom: Extent, sources, and student characteristics. Journal of Chemical Education, 77(4), 514.
Article
Google Scholar
Feldman, D.B., & Kubota, M. (2015). Hope, self-efficacy, optimism, and academic achievement: Distinguishing constructs and levels of specificity in predicting college grade-point average. Learning and Individual Differences, 37, 210–216.
Article
Google Scholar
Ferrell, B., & Barbera, J. (2015). Analysis of students’ self-efficacy, interest, and effort beliefs in general chemistry. Chemistry Education Research and Practice, 16(2), 318–337.
Article
Google Scholar
Fredrickson, B.L. (2013). Positive emotions broaden and build. In Advances in experimental social psychology, vol 47. Elsevier, Amsterdam, (pp. 1–53).
Google Scholar
Galyon, C.E., Blondin, C.A., Yaw, J.S., Nalls, M.L., Williams, R.L. (2012). The relationship of academic self-efficacy to class participation and exam performance. Social Psychology of Education, 15(2), 233–249.
Article
Google Scholar
Ghergulescu, I., Moldovan, A.N., Muntean, C.H., Muntean, G.M. (2019). Interactive personalised stem virtual lab based on self-directed learning and selfefficacy. In Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization (UMAP’19 Adjunct). (pp. 355–358). Larnaca: ACM Press. https://doi.org/10.1145/3314183.3323678.
Gore Jr, P.A. (2006). Academic self-efficacy as a predictor of college outcomes Two incremental validity studies. Journal of career assessment, 14(1), 92–115.
Article
Google Scholar
Goudsouzian, L.K., Riola, P., Ruggles, K., Gupta, P., Mondoux, M.A. (2018). Integrating cell and molecular biology concepts: Comparing learning gains and self-efficacy in corresponding live and virtual undergraduate laboratory experiences. Biochemistry and Molecular Biology Education, 46(4), 361–372.
Article
Google Scholar
Heradio, R., de la Torre, L., Galan, D., Cabrerizo, F.J., Herrera-Viedma, E., Dormido, S. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14–38.
Article
Google Scholar
Herga, N.R., Čagran, B., Dinevski, D. (2016). Virtual laboratory in the role of dynamic visualisation for better understanding of chemistry in primary school. Eurasia Journal of Mathematics, Science & Technology Education, 12(3), 593–608.
Google Scholar
Hofstein, A., Nahum, T.L., Shore, R. (2001). Assessment of the learning environment of inquiry-type laboratories in high school chemistry. Learning Environments Research, 4(2), 193–207. https://doi.org/10.1023/A:1012467417645.
Article
Google Scholar
Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63–84.
Article
Google Scholar
Hsia, J.W., & Tseng, A.H. (2008). An enhanced technology acceptance model for e-learning systems in high-tech companies in taiwan: analyzed by structural equation modeling. In Cyberworlds 2008 International Conference on. IEEE, Hangzhou, (pp. 39–44).
Chapter
Google Scholar
Huey, C.C.S. (2013). Assessment of chemistry anxiety among college students. In Chemistry Education and Sustainability in the Global Age. Springer, Dordrecht, (pp. 27–34).
Chapter
Google Scholar
Husnaini, S.J., & Chen, S. (2019). Effects of guided inquiry virtual and physical laboratories on conceptual understanding, inquiry performance, scientific inquiry self-efficacy, and enjoyment. Physical Review Physics Education Research, 15(1), 010119(1)–010119(16).
Article
Google Scholar
Jegede, S. (2007). Students anxiety towards the learning of chemistry in some nigerian secondary schools. Educational Research and Reviews, 2(7), 193–197.
Google Scholar
Jones, J., & Young, D.J. (1995). Perceptions of the relevance of mathematics and science: An australian study. Research in Science Education, 25(1), 3–18.
Article
Google Scholar
Jones, N. (2018). Simulated labs are booming. Nature, 562(7725), S5–S5.
Article
Google Scholar
Judge, T.A., Jackson, C.L., Shaw, J.C., Scott, B.A., Rich, B.L. (2007). Self-efficacy and work-related performance: The integral role of individual differences. Journal of applied psychology, 92(1), 107.
Article
Google Scholar
Kamaruddin, N., Ibrahim, N.H., Surif, J. (2015). Attribution factors of chemistry anxiety: What are they? In 2nd International Education Postgrduates Seminars. 20-21 Dec, Johor Bahru, Johor.
Kamaruddin, N.F., Ibrahim, N.H., Johari Surif, M.A., Abd, C. (2019). Malaysian science stream students’ anxiety towards chemistry at the secondary school level. International Journal of Recent Technology and Engineering, 7(6S5), 724–738.
Google Scholar
Kıran, D., & Sungur, S. (2012). Middle school students’ science self-efficacy and its sources: Examination of gender difference. Journal of Science Education and Technology, 21(5), 619–630.
Article
Google Scholar
Korakakis, G., Pavlatou, E.A., Palyvos, J.A., Spyrellis, N. (2009). 3d visualization types in multimedia applications for science learning: A case study for 8th grade students in greece. Computers & Education, 52(2), 390–401.
Article
Google Scholar
Kırbaşlar, F.G., Veyisoğlu, A., Özsoy Güneş, Z. (2015). Investigating the relationships between pre-service science teachers’ self- efficacy in laboratory and anxiety towards chemistry laboratory. Procedia - Social and Behavioral Sciences, 174, 43–50. http://www.sciencedirect.com/science/article/pii/S1877042815006758 International Conference on New Horizons in Education, INTE 2014 25-27 June 2014 Paris, France.
Article
Google Scholar
Kumar, S., & Daniel, B.K. (2016). Integration of learning technologies into teaching within fijian polytechnic institutions. International Journal of Educational Technology in Higher Education, 13(1), 36.
Article
Google Scholar
Kurbanoglu, N.I., & Akim, A. (2010). The relationships between university students’ chemistry laboratory anxiety, attitudes, and self-efficacy beliefs. Australian Journal of Teacher Education, 35(8), 4.
Article
Google Scholar
Lasica, I.E., Katzis, K., Meletiou-Mavrotheris, M., Dimopoulos, C. (2016). Research challenges in future laboratory-based stem education. Bulletin of the IEEE Technical Committee on Learning Technology, 18(1), 2.
Google Scholar
Lazarowitz, R., & Tamir, P. (1994). Research on using laboratory instruction in science. In: Gabel, D.L. (Ed.) In Handbook of research on science teaching and learning. Macmillan, New York, (pp. 94–130).
Lent, R.W., Brown, S.D., Larkin, K.C. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of counseling psychology, 31(3), 356.
Article
Google Scholar
Lorsbach, A., & Jinks, J. (1999). Self-efficacy theory and learning environment research. Learning environments research, 2(2), 157–167.
Article
Google Scholar
Makransky, G., Bonde, M.T., Wulff, J.S., Wandall, J., Hood, M., Creed, P.A., Bache, I., Silahtaroglu, A., Nørremølle, A. (2016a). Simulation based virtual learning environment in medical genetics counseling: an example of bridging the gap between theory and practice in medical education. BMC medical education, 16(1), 98.
Article
Google Scholar
Makransky, G., Thisgaard, M.W., Gadegaard, H. (2016b). Virtual simulations as preparation for lab exercises: Assessing learning of key laboratory skills in microbiology and improvement of essential non-cognitive skills. PloS ONE, 11(6), e0155,895.
Article
Google Scholar
Mashami, R., & Gunawan, G. (2018). The influence of sub-microscopic media animation on students’ critical thinking skills based on gender. In Journal of Physics Conference Series, vol 1108. IOP Publishing, Surabaya, (p. 012106).
Google Scholar
Moghadam, A.H., & Bairamzadeh, S. (2009). Extending the technology acceptance model for e-learning: a case study of Iran. In Information Technology: New Generations 2009 ITNG’09. Sixth International Conference on. IEEE, Las Vegas, (pp. 1659–1660).
Chapter
Google Scholar
Nedungadi, P., Ramesh, M.V., Pradeep, P., Raman, R. (2018). Pedagogical support for collaborative development of virtual and remote labs: Amrita vlcap. In Cyber-physical laboratories in engineering and science education. Springer, Cham, (pp. 219–240).
Chapter
Google Scholar
Nie, Y., Lau, S., Liau, A.K. (2011). Role of academic self-efficacy in moderating the relation between task importance and test anxiety. Learning and Individual Differences, 21(6), 736–741.
Article
Google Scholar
Oriol-Granado, X., Mendoza-Lira, M., Covarrubias-Apablaza, C.G., Molina-López, V.M. (2017). Emociones positivas, apoyo a la autonomía y rendimiento de estudiantes universitarios: el papel mediador del compromiso académico y la autoeficacia. Revista de Psicodidá, ctica, 22(1), 45–53.
Article
Google Scholar
Osborne, J.F., & Collins, S. (2000). Pupils’ and parents’ views of the school science curriculum. London: London: King’s College.
Google Scholar
Pagliaro, M. (2010). On shapes, molecules and models: An insight into chemical methodology. European Journal of Chemistry, 1(4), 276–281.
Article
Google Scholar
Putwain, D., Sander, P., Larkin, D. (2013). Academic self-efficacy in study-related skills and behaviours: Relations with learning-related emotions and academic success. British Journal of Educational Psychology, 83(4), 633–650.
Article
Google Scholar
Raman, R., Nedungadi, P., Achuthan, K., Diwakar, S. (2011). Integrating collaboration and accessibility for deploying virtual labs using vlcap. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 2(5), 547–560.
Google Scholar
Raman, R., Achuthan, K., Nedungadi, P., Diwakar, S., Bose, R. (2014). The vlab oer experience: Modeling potential-adopter student acceptance. IEEE Transactions on Education, 57(4), 235–241.
Article
Google Scholar
Ramnarain, U., & Ramaila, S. (2018). The relationship between chemistry self-efficacy of south african first year university students and their academic performance. Chemistry Education Research and Practice, 19(1), 60–67.
Article
Google Scholar
Ramos, S., Pimentel, E.P., Maria das Graças, B.M., Botelho, W.T. (2016). Hands-on and virtual laboratories to undergraduate chemistry education: Toward a pedagogical integration. In 2016 IEEE Frontiers in Education Conference (FIE). IEEE, Erie, (pp. 1–8).
Google Scholar
Redel-Macías, M., Pinzi, S., Martínez-Jiménez, M., Dorado, G., Dorado, M (2016). Virtual laboratory on biomass for energy generation. Journal of Cleaner Production, 112, 3842–3851.
Article
Google Scholar
Reece, A.J., & Butler, M.B. (2017). Virtually the same: A comparison of stem students content knowledge, course performance, and motivation to learn in virtual and face-to-face introductory biology laboratories. Journal of College Science Teaching, 46(3), 83–89.
Article
Google Scholar
Richard, K., Dalgety, J., Salter, D. (2002). The development of the chemistry attitudes and experiences questionnaire (caeq). CHEMISTRY, 3(1), 19–32.
Google Scholar
Richardson, M., Abraham, C., Bond, R. (2012). Psychological correlates of university students’ academic performance: a systematic review and meta-analysis. Psychological bulletin, 138(2), 353.
Article
Google Scholar
Robbins, S.B., Lauver, K., Le, H., Davis, D., Langley, R., Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? a meta-analysis. Psychological bulletin, 130(2), 261.
Article
Google Scholar
Rodríguez, J., Gutiérrez, T., Sánchez, E.J., Casado, S., Aguinaga, I. (2012). Training of Procedural Tasks Through the Use of Virtual Reality and Direct Aids. In: Lanyi, C.S. (Ed.) In Virtual Reality Environments. InTech, Croatia, (pp. 43–68).
Schwarzer, R., & Jerusalem, M. (1995). Generalized self-efficacy scale. In: SW, JWeinman, & M, Johnston (Eds.) In Measures in health psychology: A user’s portfolio Causal and control beliefs. Windsor, UK: NFER-NELSON, (pp. 35–37).
Smist, J.M., & Owen, S.V. (1994). Explaining science self-efficacy. New Orleans: Paper presented at the annual meeting of the American Educational Research Association.
Google Scholar
Stallman, H.M. (2010). Psychological distress in university students: A comparison with general population data. Australian Psychologist, 45(4), 249–257.
Article
Google Scholar
Stone, D.C. (2005). Dumber students or dumber teaching? education and the supply of future analytical chemists. Analyst, 130(4), 419–420.
Article
Google Scholar
Su, C.H., & Cheng, T.W. (2019). A sustainability innovation experiential learning model for virtual reality chemistry laboratory: An empirical study with pls-sem and ipma. Sustainability, 11(4), 1027.
Article
Google Scholar
Talton, E.L., & Simpson, R.D. (1986). Relationships of attitudes toward self, family, and school with attitude toward science among adolescents. Science Education, 70(4), 365–74.
Article
Google Scholar
Tamannaeifar, M.R., & Motaghedifard, M. (2014). Subjective well-being and its sub-scales among students: The study of role of creativity and self-efficacy. Thinking Skills and Creativity, 12, 37–42.
Article
Google Scholar
Tan, Y., & Arshad, M.Y. (2011). Problem-based learning: Implementation issues in malaysia secondary schools science classroom. In International Conference on Science & Mathematics Education (CoSMEd). SEAMEO RECSAM, Penang.
Google Scholar
Thisgaard M, & Makransky, G. (2017). Virtual learning simulations in high school Effects on cognitive and non-cognitive outcomes and implications on the development of stem academic and career choice. Frontiers in psychology, 8, 805.
Article
Google Scholar
Tomás, J.M., Gutiérrez, M., Georgieva, S., Hernández, M. (2020). The effects of self-efficacy, hope, and engagement on the ac ademic achievement of secondary education in the Dominican Republic. Psychology in the Schools, 57(2), 191–203. https://doi.org/10.1002/pits.22321.
Article
Google Scholar
Treagust, D., Nieswandt, M., Duit, R. (2000). Sources of students difficulties in learning chemistry. Educació, n química, 11(2), 228–235.
Article
Google Scholar
Trindade, J., Fiolhais, C., Almeida, L. (2002). Science learning in virtual environments: a descriptive study. British Journal of Educational Technology, 33(4), 471–488.
Article
Google Scholar
Trojanowicz, M. (2000). Flow Injection Analysis: Instrumentation and Applications. World Scientific, 481. https://books.google.co.in/books?id=I\_T6AXfcolwC.
Tymms, P. (1997). Science in primary schools: An investigation into differences in the attainment and attitudes of pupils across schools. Research in Science & Technological Education, 15(2), 149–159.
Article
Google Scholar
UGC (2015). Proposed syllabus and scheme of examination for B.Sc (honors) chemistry. https://www.ugc.ac.in/pdfnews/3224345\_B.Sc.HONOURS-CHEMISTRY.pdf. Accessed 16 Mar 2020.
UGC (2019). Learning outcomes based curriculum framework (LOCF) for (B.Sc, with chemistry) undergraduate programme: A template. https://www.ugc.ac.in/pdfnews/6996683\_Chemistry.pdf. Accessed 16 Mar 2020.
Ullah, S., Ali, N., Rahman, S.U. (2016). The effect of procedural guidance on students’ skill enhancement in a virtual chemistry laboratory. Journal of Chemical Education, 93(12), 2018–2025.
Article
Google Scholar
Uzuntiryaki, E., & Aydın YÇ (2009). Development and validation of chemistry self-efficacy scale for college students. Research in Science Education, 39(4), 539–551.
Article
Google Scholar
Uzuntiryaki-Kondakci, E., & Capa-Aydin, Y. (2013). Predicting critical thinking skills of university students through metacognitive self-regulation skills and chemistry self-efficacy. Educational Sciences: Theory and Practice, 13(1), 666–670.
Google Scholar
Uzuntiryaki-Kondakci, E., & Senay, A. (2015). Predicting chemistry achievement through task value, goal orientations, and self-efficacy: a structural model. Croatian Journal of Education, 17(3), 725–753.
Article
Google Scholar
Villafañe, S.M., Xu, X., Raker, J.R. (2016). Self-efficacy and academic performance in first-semester organic chemistry: testing a model of reciprocal causation. Chemistry Education Research and Practice, 17(4), 973–984.
Article
Google Scholar
Vlachopoulos, D., & Makri, A. (2017). The effect of games and simulations on higher education: a systematic literature review. International Journal of Educational Technology in Higher Education, 14(1), 22.
Article
Google Scholar
Waldrop, M.M. (2013). Education online: The virtual lab. Nature News, 499(7458), 268–270.
Article
Google Scholar
Wang, K., & Zhu, C. (2019). Mooc-based flipped learning in higher education students’ participation, experience and learning performance. International Journal of Educational Technology in Higher Education, 16(1), 33.
Article
Google Scholar
Weng, F., Cheong, F., Cheong, C. (2010). The combined effect of self-efficacy and academic integration on higher education students studying it majors in taiwan. Education and Information Technologies, 15(4), 333–353.
Article
Google Scholar
Widener, A. (2018). By the numbers: Who’s going to grad school in chemistry and chemical engineering. https://cen.acs.org/articles/96/i9/ By-the-numbers-Who-s-going-to-grad-school-in-chemistry-and-chemical-engineering.html. Accessed 21 Apr 2020.
Wilde, N., & Hsu, A. (2019). The influence of general self-efficacy on the interpretation of vicarious experience information within online learning. International Journal of Educational Technology in Higher Education, 16(1), 1–20.
Article
Google Scholar
Williams, J.E. (1994). Gender differences in high school students’ efficacy-expectation/performance discrepancies across four subject matter domains. Psychology in the Schools, 31(3), 232–237.
Article
Google Scholar
Winkelmann, K., Baloga, M., Marcinkowski, T., Giannoulis, C., Anquandah, G., Cohen, P. (2014). Improving students’ inquiry skills and self-efficacy through research-inspired modules in the general chemistry laboratory. Journal of Chemical Education, 92(2), 247–255.
Article
Google Scholar
Wright, A.B., & Holttum, S. (2012). Gender identity, research self-efficacy and research intention in trainee clinical psychologists in the uk. Clinical Psychology & Psychotherapy, 19(1), 46–56.
Article
Google Scholar
Xu, D., Huang, W.W., Wang, H., Heales, J. (2014). Enhancing e-learning effectiveness using an intelligent agent-supported personalized virtual learning environment: An empirical investigation. Information & Management, 51(4), 430–440.
Article
Google Scholar
Yadav, J. (2010). Advanced Practical Physical Chemisty, 29th edn. Krishna Prakashan. Meerut: Krishna Prakashan Media. https://books.google.co.in/books?id=QBzlRrzYeuYC.
Google Scholar
Yang, K.Y., & Heh, J.S. (2007). The impact of internet virtual physics laboratory instruction on the achievement in physics, science process skills and computer attitudes of 10th-grade students. Journal of Science Education and Technology, 16(5), 451–461.
Article
Google Scholar
Yu, Y., & Luo, J. (2018). Dispositional optimism and well-being in college students self-efficacy as a mediator. Social Behavior and Personality: an international journal, 46(5), 783–792.
Article
MathSciNet
Google Scholar
Yuen, A.H., & Ma, W.W. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229–243.
Article
Google Scholar
Yusuf, S.D. (2014). Effects of collaborative learning on chemistry students’ academic achievement and anxiety level in balancing chemical equations in secondary school in katsina metropolis, nigeria. Journal of Education and Vocational Research, 5(2), 43–48.
Article
Google Scholar