Digital Transformation in Teacher Performance Assessment: Development and Implementation of E-PKG System for Enhancing Vocational Education Quality and Industry Alignment
Abstract
Purpose of the study: This study aims to develop and evaluate the Electronic Teacher Performance Assessment System (E-PKG) as a digital platform to transform teacher evaluation in vocational education from administrative compliance into strategic professional development to better align vocational graduate competencies with industry requirements.
Methodology: This study employs a Research and Development (R&D) design through four stages: needs analysis via stakeholder consultation, prototype development using user-centered design, iterative field testing in vocational schools and industry partnerships, and refinement from empirical feedback. Data were collected from 34 respondents using questionnaires, structured observations, and interviews, and analyzed with descriptive statistics and thematic analysis.
Main Findings: The E-PKG system reduced assessment completion time by 67%, eliminated data entry errors, and improved inter-rater reliability from 0.62 to 0.89. Real-time analytics supported evidence-based professional development planning. User satisfaction ranged from 3.88 to 4.26 (5-point scale), with highest scores for system stability and navigation ease, though challenges remained in interface clarity for non-technical users and indicator comprehension.
Novelty/Originality of this study: This study introduces a comprehensive digital teacher assessment system specifically tailored to vocational education, directly linking evaluation results to industry competency frameworks. It advances knowledge by demonstrating how technology-mediated assessment can strategically connect quality improvement and workforce development in economically disadvantaged settings, while emphasizing the importance of pedagogical alignment, stakeholder inclusivity, and contextual adaptation.
References
E. A. Hanushek and L. Woessmann, “The role of cognitive skills in economic development,” J. Econ. Lit., vol. 46, no. 3, pp. 607–668, 2008.
A. Bohari, W. Wider, L. Jiang, J. C. M. Tanucan, S. P. Lim, and S. F. A. Hossain, “Exploring the key factors influencing the adoption of Education 4.0 in the Malaysian institute of teacher education (IPGM),” Asian Educ. Dev. Stud., vol. 14, no. 3, pp. 436–456, May 2025, doi: 10.1108/AEDS-10-2024-0223.
P. Muthukrishnan, E. J. Hendry Salim, L. Fung Lan, T. S. Ming, S. Nair Sukumaran, and L. Mei Yeuan, “Pedagogical practices for developing a growth mindset: A qualitative study with primary school teachers,” Educ. Psychol. Pract., vol. 41, no. 2, pp. 129–149, Apr. 2025, doi: 10.1080/02667363.2024.2428250.
U. Hijriyah, “How effective is SUNO.AI in enhancing Arabic listening skills? An evaluation of AI-based personalized learning,” Int. J. Inf. Educ. Technol., vol. 15, no. 2, pp. 391–407, 2025, doi: 10.18178/ijiet.2025.15.2.2251.
E. A. Hanushek and L. Woessmann, The Knowledge Capital of Nations: Education and the Economics of Growth. Cambridge, MA, USA: MIT Press, 2015.
K. Tulyani, “Health promotion analysis on gastritis: Students’ knowledge and attitudes towards students’ health,” J. Heal. Innov. Environ. Educ., vol. 1, no. 1, pp. 26–31, Jun. 2024, doi: 10.37251/jhiee.v1i1.1026.
F. K. Lawal, H. Isfa, and N. A. Hamid, “The influence of curiosity on students’ critical thinking skills as viewed from the perspective of learning motivation in biology learning on cell material,” J. Acad. Biol. Biol. Educ., vol. 2, no. 1, pp. 88–96, 2025, doi: 10.37251/jouabe.v2i1.1913.
World Bank, World Development Report 2018: Learning to Realize Education’s Promise. Washington, DC, USA: World Bank, 2018.
UNESCO, Teaching and Learning: Achieving Quality for All. Paris, France: UNESCO, 2014.
S. Worachananant, S. Shamshiri, and G. R. Semilla, “Approach management in marine protected areas: A case study of Surin Marine National Park, Thailand,” Multidiscip. J. Tour. Hosp. Sport Phys. Educ., vol. 2, no. 1, pp. 11–18, 2025, doi: 10.37251/jthpe.v2i1.1655.
H. R. Hagad and H. Riah, “Augmented reality-based interactive learning media: Enhancing understanding of chemical bonding concepts,” J. Chem. Learn. Innov., vol. 2, no. 1, pp. 52–59, 2025, doi: 10.37251/jocli.v2i1.1919.
J. Hattie, Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. London, UK: Routledge, 2009.
A. Schleicher, World Class: How to Build a 21st-Century School System. Paris, France: OECD Publishing, 2018.
D. N. Junita and R. D. Prasad, “The effect of using animation videos on students’ speaking ability,” J. Lang. Lit. Educ. Res., vol. 1, no. 2, pp. 39–44, 2024, doi: 10.37251/jolle.v1i2.1063.
T. T. T. Linh, T. T. M. Huong, and N. Thammachot, “Sustainable nutrient management for NFT hydroponic lettuce: Integrating kipahit (Tithonia diversifolia) liquid organic fertilizer with AB-mix,” Integr. Sci. Educ. J., vol. 6, no. 3, pp. 240–248, Sep. 2025, doi: 10.37251/isej.v6i3.2118.
L. Darling-Hammond, “Teacher quality and student achievement: A review of state policy evidence,” Educ. Policy Anal. Arch., vol. 8, no. 1, pp. 1–44, 2000.
M. Muhasriady and S. S. Tiwari, “Examining the influence of maternal education, nutritional knowledge, and toddler food intake on nutritional status,” J. Heal. Innov. Environ. Educ., vol. 1, no. 2, pp. 38–46, 2024, doi: 10.37251/jhiee.v1i2.1211.
L. Darling-Hammond, “The role of teacher evaluation in developing teaching as a profession,” Educ. Res., vol. 41, no. 8, pp. 3–21, 2012.
A. Ghalby and L. A. Malaluan, “Safety first? Exploring occupational health and safety knowledge levels of chemistry education students in laboratory settings,” J. Chem. Learn. Innov., vol. 2, no. 1, pp. 12–22, Jun. 2025, doi: 10.37251/jocli.v2i1.1562.
OECD, TALIS 2018 Results: Teachers and School Leaders as Lifelong Learners, vol. 1. Paris, France: OECD Publishing, 2019.
J. H. Stronge, Evaluating Teaching: A Guide to Current Thinking and Best Practice, 2nd ed. Thousand Oaks, CA, USA: Corwin Press, 2010.
M. B. Ulla, K. F. Barrera, and J. Acompanado, “Philippine teachers’ induction programs: Implications for continuing professional development,” Aust. J. Teach. Educ., vol. 42, no. 7, pp. 1–16, 2017.
A. Ma’ruf, “Poverty alleviation through education quality improvement in Karawang Regency,” J. Soc. Dev. Res., vol. 11, no. 2, pp. 45–62, 2022.
S. F. Reardon, “The widening academic achievement gap between rich and poor: New evidence and possible explanations,” in Whither Opportunity? Rising Inequality, Schools, and Children’s Life Chances, G. J. Duncan and R. J. Murnane, Eds. New York, NY, USA: Russell Sage Foundation, 2011, pp. 91–116.
Rustanto, “Vocational graduate competency gap analysis: Industry perspectives from Karawang,” Indones. J. Vocat. Educ., vol. 9, no. 1, pp. 12–28, 2024.
R. C. Wei, K. Y. Chow, R. Y. Huang, C. M. Huang, and J. Y. Cheng, “Teacher evaluation systems: A systematic literature review of dimensions, mechanisms, and outcomes,” Educ. Assess. Eval. Account., vol. 35, no. 2, pp. 127–153, 2023.
E. Chirchir, S. W. Letangule, and R. N. Matthew, “Influence of teacher appraisal and development on student academic achievement in public secondary schools in Kenya,” Int. J. Educ. Res., vol. 9, no. 8, pp. 11–24, 2021.
W. Eichhorst and J. Ratermann, “Digital competence and technology adoption among vocational teachers: A structural equation modeling approach,” J. Vocat. Educ. Train., vol. 77, no. 1, pp. 34–52, 2025.
Y. Li, Z. Wang, and Q. Zhang, “Design and implementation of web-based fuzzy comprehensive teacher evaluation system,” Int. J. Emerg. Technol. Learn., vol. 17, no. 4, pp. 89–103, 2022.
L. Zhang, “Balanced scorecard and PDCA-based teacher performance evaluation framework for vocational colleges,” Educ. Meas. Assess. Rev., vol. 12, no. 1, pp. 78–95, 2025.
M. Suryaman, D. Cahyadi, and E. Hariyanto, “Research trends in vocational education: A bibliometric analysis 2015–2022,” J. Vocat. Educ. Res., vol. 8, no. 3, pp. 156–174, 2023.
P. Mishra and M. J. Koehler, “Technological pedagogical content knowledge: A framework for teacher knowledge,” Teach. Coll. Rec., vol. 108, no. 6, pp. 1017–1054, Jun. 2006, doi: 10.1111/j.1467-9620.2006.00684.x.
C. Redecker, European Framework for the Digital Competence of Educators: DigCompEdu. Luxembourg: Publications Office of the European Union, 2017.
J. Tondeur, J. van Braak, G. Sang, J. Voogt, P. Fisser, and A. Ottenbreit-Leftwich, “Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence,” Comput. Educ., vol. 59, no. 1, pp. 134–144, 2012.
G. S. Becker, Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, 3rd ed. Chicago, IL, USA: University of Chicago Press, 1993.
M. D. Gall, J. P. Gall, and W. R. Borg, Applying Educational Research: A Practical Guide, 5th ed. Boston, MA, USA: Pearson, 2003.
J. W. Creswell and J. D. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks, CA, USA: SAGE Publications, 2018.
R. Hake, “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” Am. J. Phys., vol. 66, pp. 64–74, 1998, doi: 10.1119/1.18809.
M. B. Miles, A. M. Huberman, and J. Saldaña, Qualitative Data Analysis: A Methods Sourcebook, 3rd ed. Thousand Oaks, CA, USA: SAGE Publications, 2014.
W. R. Borg and M. D. Gall, Educational Research: An Introduction, 4th ed. New York, NY, USA: Longman, 1983.
A. M. Abrianto, I. Amaefuna, and A. F. Onyemowo, “Biology learning innovation using booklet media,” J. Acad. Biol. Biol. Educ., vol. 1, no. 2, pp. 75–81, 2024, doi: 10.37251/jouabe.v1i2.1158.
D. A. Norman, The Design of Everyday Things: Revised and Expanded Edition. New York, NY, USA: Basic Books, 2013.
K. Holtzblatt and H. Beyer, Contextual Design: Defining Customer-Centered Systems. San Francisco, CA, USA: Morgan Kaufmann, 2014.
N. N. Le and M. Z. Aye, “The effect of integrating green sustainable science and technology into STEM learning on students’ environmental literacy,” Integr. Sci. Educ. J., vol. 6, no. 3, pp. 232–239, 2025, doi: 10.37251/isej.v6i3.2116.
S. Kvale and S. Brinkmann, InterViews: Learning the Craft of Qualitative Research Interviewing, 3rd ed. Thousand Oaks, CA, USA: Sage Publications, 2015.
W. Puspitasari, “The influence of health education through social media on students’ knowledge about anemia,” J. Heal. Innov. Environ. Educ., vol. 1, no. 1, pp. 14–19, 2024, doi: 10.37251/jhiee.v1i1.1034.
J. C. Greene, V. J. Caracelli, and W. F. Graham, “Toward a conceptual framework for mixed-method evaluation designs,” Educ. Eval. Policy Anal., vol. 11, no. 3, pp. 255–274, 1989.
A. Jatmiko, N. Armita, Irwandani, T. Saputro, and M. Aridan, “Development of science learning videos with the Canva application on socioscientific issues,” E3S Web Conf., vol. 482, p. 05004, 2024, doi: 10.1051/e3sconf/202448205004.
Koderi, M. Sufian, and Erlina, “Developing Lampung local wisdom film of Arabic communication skills for Madrasah Tsanawiyah students,” Int. J. Inf. Educ. Technol., vol. 13, no. 12, pp. 2004–2013, 2023, doi: 10.18178/ijiet.2023.13.12.2015.
E. Erlina, K. Koderi, and M. Sufian, “Designing a gender-responsive Qira’ah learning module: Bridging equality and inclusivity in Islamic higher education,” J. Ilm. Islam Futur., vol. 25, no. 1, pp. 239–262, Feb. 2025, doi: 10.22373/jiif.v25i1.29305.
F. Qi, “Teaching quality assessment in higher education: Moving beyond administrative compliance,” High. Educ. Q., vol. 76, no. 4, pp. 567–583, 2022.
M. Sufian, Erlina, and S. Octariani, “Gendered parenting and language achievement: A comparative study of children from single-mother and single-father families,” Women Educ. Soc. Welf., vol. 1, no. 2, pp. 110–120, 2024, doi: 10.70211/wesw.v1i2.296.
E. Weyant, “Research design: Qualitative, quantitative, and mixed methods approaches,” J. Electron. Resour. Med. Libr., vol. 19, no. 1–2, pp. 54–55, 2022, doi: 10.1080/15424065.2022.2046231.
J. W. Creswell and V. L. Plano Clark, “Revisiting mixed methods research designs,” in The SAGE Handbook of Mixed Methods Research Design, London, UK: Sage Publications, 2023, pp. 21–36.
J. M. Nolan and A. Provost, “Enhancing assessment reliability through structured evaluation frameworks,” Educ. Meas. Issues Pract., vol. 38, no. 2, pp. 45–58, 2019.
H. K. Putri, E. Risdianto, and A. A. Ramandani, “Enhancing social studies achievement through the Make a Match cooperative model: The moderating role of student motivation,” Digit. Learn. Soc. Sci. Life-course Stud., vol. 1, no. 1, pp. 39–51, 2025, doi: 10.70211/disolife.v1i1.258.
A. Primahadi and A. Purwasih, “Developing character-based animated learning media using Animaker: A case study in Indonesian junior high school social studies,” Digit. Learn. Soc. Sci. Life-course Stud., vol. 1, no. 1, pp. 11–23, 2025, doi: 10.70211/disolife.v1i1.255.
T. M. Masaeed, “Digital transformation in teacher evaluation systems: Efficiency and accuracy improvements,” Int. J. Educ. Technol., vol. 12, no. 1, pp. 89–107, 2025.
C. W. Shoemaker, “Real-time data in educational leadership: Supporting evidence-based decision making,” J. Educ. Adm., vol. 54, no. 5, pp. 567–585, 2016.
A. Vasudevan et al., “Study of assessment practices of secondary school civic education teachers in Kaduna State, Nigeria,” Educ. Process Int. J., vol. 19, no. 1, 2025, doi: 10.22521/edupij.2025.19.536.
S. Nurafifah and W. Widiastuti, “The use of audio visual media in learning to write advertisement texts,” J. Lang. Lit. Educ. Res., vol. 2, no. 1, pp. 120–125, 2025, doi: 10.37251/jolle.v2i1.1960.
N. A. Almubarak, “AI-based teacher performance evaluation: Enhancing objectivity and consistency,” Educ. Technol. Res. Dev., vol. 72, no. 3, pp. 445–464, 2024.
Y. Kurniawan, “Motivation of class XI students towards learning physical education, sports, and health,” Multidiscip. J. Tour. Hosp. Sport Phys. Educ., vol. 1, no. 1, pp. 16–20, 2024, doi: 10.37251/jthpe.v1i1.1038.
A. J. Visscher, “School performance feedback systems: Conceptualisation, analysis, and reflection,” Sch. Eff. Sch. Improv., vol. 32, no. 2, pp. 159–175, 2021.
M. S. Rahajo and A. Kumyat, “Analysis of driving factors for the implementation of clean technology to optimize green manufacturing in small and medium enterprises,” Integr. Sci. Educ. J., vol. 6, no. 3, pp. 258–268, 2025, doi: 10.37251/isej.v6i3.2115.
L. Staman, C. Visscher, and M. Luyten, “The effects of professional development on teacher outcomes: A meta-analysis,” Teach. Teach. Educ., vol. 62, pp. 79–89, 2017.
F. J. R. Mostefai, “User-centered design in educational technology: Enhancing satisfaction and effectiveness,” Interact. Learn. Environ., vol. 33, no. 2, pp. 234–251, 2025.
J. Nielsen and R. Molich, “Heuristic evaluation of user interfaces,” in Proc. SIGCHI Conf. Human Factors in Computing Systems, Seattle, WA, USA, 1990.
B. Shneiderman, C. Plaisant, M. Cohen, S. Jacobs, and N. Elmqvist, Designing the User Interface: Strategies for Effective Human-Computer Interaction, 6th ed. Boston, MA, USA: Pearson, 2016.
H. Barjestesh, P. Vijayaratnam, M. Sabzevari, N. Fatehi Rad, and M. Manoochehrzadeh, “Digital literacy of Iranian English as a foreign language teachers,” Forum Linguist. Stud., vol. 7, no. 1, pp. 163–171, 2025, doi: 10.30564/fls.v7i1.7244.
F. J. Guillén-Gámez, M. J. Mayorga-Fernández, A. Bravo-Agapito, and S. Escribano-Ortiz, “Analysis of teachers’ pedagogical digital competence: Identification of factors predicting their acquisition,” Technol. Knowl. Learn., vol. 26, no. 3, pp. 481–498, 2021.
Y. Zhang and K. M. Bartol, “Linking empowering leadership and employee creativity: The influence of psychological empowerment, intrinsic motivation, and creative process engagement,” Acad. Manag. J., vol. 53, no. 1, pp. 107–128, 2010.
R. M. Ryan and E. L. Deci, “Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being,” Am. Psychol., vol. 55, no. 1, pp. 68–78, 2000.
A. H. Maslow, “A theory of human motivation,” Psychol. Rev., vol. 50, no. 4, pp. 370–396, 1943.
F. Herzberg, B. Mausner, and B. B. Snyderman, The Motivation to Work. New York, NY, USA: John Wiley & Sons, 1959.
E. A. Locke and G. P. Latham, “Building a practically useful theory of goal setting and task motivation,” Am. Psychol., vol. 57, no. 9, pp. 705–717, 2002.
J. Sweller, “Cognitive load during problem solving: Effects on learning,” Cogn. Sci., vol. 12, no. 2, pp. 257–285, 1988.
B. Shneiderman, “Designing the user interface: Strategies for effective human-computer interaction,” ACM SIGBIO Newsl., vol. 9, no. 1, p. 6, 1987.
J. Nielsen, Usability Engineering. San Francisco, CA, USA: Morgan Kaufmann, 1993.
E. M. Rogers, Diffusion of Innovations, 5th ed. New York, NY, USA: Free Press, 2003.
M. Fullan, The New Meaning of Educational Change. New York, NY, USA: Teachers College Press, 2016.
C. R. Graham, W. Woodfield, and J. B. Harrison, “A framework for institutional adoption and implementation of blended learning in higher education,” Internet High. Educ., vol. 18, pp. 4–14, 2013.
L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Psychometrika, vol. 16, no. 3, pp. 297–334, 1951, doi: 10.1007/BF02310555.
F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989, doi: 10.2307/249008.
V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Q., vol. 27, no. 3, pp. 425–478, 2003, doi: 10.2307/30036540.
E. R. Tufte, The Visual Display of Quantitative Information, 2nd ed. Cheshire, CT: Graphics Press, 2001.
A. Bandura, “Self-efficacy: Toward a unifying theory of behavioral change,” Psychological Review, vol. 84, no. 2, pp. 191–215, 1977.
D. H. Jonassen, Computers as Mindtools for Schools: Engaging Critical Thinking, 2nd ed. Upper Saddle River, NJ: Merrill/Prentice Hall, 2000.
M. Cochran-Smith and K. M. Zeichner, Studying Teacher Education: The Report of the AERA Panel on Research and Teacher Education. Mahwah, NJ: Lawrence Erlbaum Associates, 2005.
D. Nabila Junita and R. Dev Prasad, “The effect of using animation video on students’ writing skills,” Journal of Language and Literature Education Research, vol. 1, no. 2, pp. 39–44, 2024, doi: 10.37251/jolle.v1i2.1063.
J. S. Eccles and R. D. Harold, “Parent-school involvement during the early adolescent years,” Teachers College Record, vol. 94, no. 3, pp. 568–587, 1993.
S. M. Nair, W. Wider, D. Bo, G. K. S. Singh, and M. Siddique, “The impact of parental involvement in preschool on children’s academic performance,” Journal of Ecohumanism, vol. 3, no. 7, pp. 3796–3808, Oct. 2024, doi: 10.62754/joe.v3i7.4500.
J. A. Fredricks, P. C. Blumenfeld, and A. H. Paris, “School engagement: Potential of the concept, state of the evidence,” Review of Educational Research, vol. 74, no. 1, pp. 59–109, Mar. 2004, doi: 10.3102/00346543074001059.
B. Means, Y. Toyama, R. Murphy, M. Bakia, and K. Jones, Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. Washington, DC: U.S. Department of Education, 2009.
T. Guskey, “Professional development and teacher change,” Teachers and Teaching: Theory and Practice, vol. 8, no. 3, pp. 381–391, 2002.
H. C. Hill, “Learning in the teaching workforce,” The Future of Children, vol. 17, no. 1, pp. 111–127, 2007.
J. H. Stronge and P. D. Tucker, Handbook on Teacher Evaluation: Assessing and Improving Performance. Larchmont, NY: Eye On Education, 2003.
L. S. Shulman, “Knowledge and teaching: Foundations of the new reform,” Harvard Educational Review, vol. 57, no. 1, pp. 1–22, 1987.
L. M. Desimone, “Improving impact studies of teachers’ professional development: Toward better conceptualizations and measures,” Educational Researcher, vol. 38, no. 3, pp. 181–199, 2009.
R. F. Elmore, Bridging the Gap Between Standards and Achievement: The Imperative for Professional Development in Education. Washington, DC: Albert Shanker Institute, 2002.
K. S. Louis, “Trust and improvement in schools,” Journal of Educational Change, vol. 8, no. 1, pp. 1–24, 2007.
M. Warschauer, “Reconceptualizing the digital divide,” First Monday, vol. 7, no. 7, 2002.
A. Wahyuni, N. A. Nasir, and M. Nurlita, “Epistemology of digital knowledge and axiology of technological literacy in elementary education towards an innovation ecosystem and learning infrastructure,” Literacy International Journal of Social Sciences and Humanities, vol. 3, no. 2, pp. 194–210, 2024.
G. P. Georgiou, “Mapping the ethical discourse in generative artificial intelligence: A topic modeling analysis of scholarly communication,” Language, Technology and Society, vol. 3, no. 2, pp. 250–265, 2025.
A. Hargreaves, “Teaching in the knowledge society: Education in the age of insecurity,” Teachers College Record, vol. 105, no. 3, pp. 557–577, 2003.
E. B. Mandinach and E. S. Gummer, “A systemic view of implementing data literacy in educator preparation,” Educational Researcher, vol. 42, no. 1, pp. 30–37, 2013.
M. Avvisati, G. Jacotin, and S. Vincent-Lancrin, “Educating higher education students for innovative economies: What international data tell us,” Tuning Journal for Higher Education, vol. 1, no. 1, pp. 223–240, 2013.
D. A. Garvin, A. C. Edmondson, and F. Gino, “Is yours a learning organization?” Harvard Business Review, vol. 86, no. 3, pp. 109–116, 2008.
P. M. Senge, The Fifth Discipline: The Art and Practice of the Learning Organization. New York, NY: Doubleday/Currency, 2006.
M. J. Koehler, P. Mishra, and W. Cain, “What is technological pedagogical content knowledge (TPACK)?,” Journal of Education, vol. 193, no. 3, pp. 13–19, Dec. 2013.
T. W. Schultz, “Investment in human capital,” American Economic Review, vol. 51, no. 1, pp. 1–17, 1961.
J. J. Heckman, “Schools, skills, and synapses,” Economic Inquiry, vol. 46, no. 3, pp. 289–324, 2008.
R. E. Stake, “The case study method in social inquiry,” Educational Researcher, vol. 7, no. 2, pp. 5–8, 1978.
D. L. Kirkpatrick and J. D. Kirkpatrick, Evaluating Training Programs: The Four Levels, 3rd ed. San Francisco, CA: Berrett-Koehler Publishers, 2006.
M. B. Horn and H. Staker, Blended: Using Disruptive Innovation to Improve Schools. San Francisco, CA: Jossey-Bass, 2015.
R. K. Yin, Case Study Research: Design and Methods, 5th ed. Thousand Oaks, CA: Sage Publications, 2014.
J. D. Singer and J. B. Willett, Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York, NY: Oxford University Press, 2003.
W. R. Shadish, T. D. Cook, and D. T. Campbell, Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston, MA: Houghton Mifflin, 2002.
K. M. Eisenhardt, “Building theories from case study research,” Academy of Management Review, vol. 14, no. 4, pp. 532–550, 1989.
C. Teddlie and A. Tashakkori, Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Thousand Oaks, CA: Sage Publications, 2009.
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