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Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
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Agendri Naidoo; Jamila Khatoon Adam; Francis Akpa-Inyang – Research in Social Sciences and Technology, 2024
This qualitative study investigates the service experiences of differently-abled students within the Financial Aid Department of a prominent South African University of Technology. Employing a semi-structured interview schedule aligned with the Service Quality model (SERVQUAL), five dimensions--tangibles, assurance, empathy, reliability, and…
Descriptors: Foreign Countries, Students with Disabilities, College Students, Services
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Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
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Timothy R. Konold; Elizabeth A. Sanders – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality…
Descriptors: Structural Equation Models, Reliability, Bayesian Statistics, Goodness of Fit
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Versantvoort, Marja; Schuwer, Robert – Open Praxis, 2023
From 2017-2020, 15 universities collaborated to create and share OER for a bachelor nursing program. A study was undertaken to analyse the impact of the project activities leading to the commitment to work towards sustaining the initiative. The project was described using the ESH model (Weggeman, 2000). Two sub-studies provided the results on the…
Descriptors: Nursing Education, Open Educational Resources, Educational Quality, Models
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Rizos, Spiridon; Sfakianaki, Eleni; Kakouris, Andreas – European Journal of Educational Management, 2022
This study investigates the quality of higher education institutes' (HEIs') administrative services by assessing student satisfaction in the context of Total Quality Management (TQM). Differences between students' perceptions and expectations of administrative service quality are examined and discussed. A questionnaire survey was developed…
Descriptors: College Administration, Educational Quality, Total Quality Management, College Students
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Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
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Pramono, Suwito Eko; Heriyanto; Melati, Inaya Sari – Pegem Journal of Education and Instruction, 2021
The implementation of history education at universities has not yet seen able to give optimal results. This study aims to propose a model for improving the quality of history education in higher education. It poses the primary research question: what is the quality improvement model of history education like according to the needs analysis? The…
Descriptors: History Instruction, Educational Improvement, Learning Activities, Educational Quality
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Stefanie A. Wind; Beyza Aksu-Dunya – Applied Measurement in Education, 2024
Careless responding is a pervasive concern in research using affective surveys. Although researchers have considered various methods for identifying careless responses, studies are limited that consider the utility of these methods in the context of computer adaptive testing (CAT) for affective scales. Using a simulation study informed by recent…
Descriptors: Response Style (Tests), Computer Assisted Testing, Adaptive Testing, Affective Measures
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Ho, Nguyen Thi Thao; Pham, Hiep-Hung; Sivapalan, Subarna; Dinh, Viet-Hung – Australasian Journal of Educational Technology, 2022
This research is unique to a Vietnamese higher education institution that adopted blended learning using Coursera MOOCs. Employing the service quality model, the objective was to investigate factors affecting the continuance intention and recommendation to others towards blended learning using Coursera MOOCs. This study was conducted an online…
Descriptors: Foreign Countries, Blended Learning, MOOCs, Higher Education
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Sameer Mohammed Majed Dandan; Odai Falah Mohammad AL-Ghaswyneh – International Journal of Assessment Tools in Education, 2024
This study focuses on evaluating the quality of competency transfer through various assessment methods and results, considering diverse stakeholder perspectives. The research aims to introduce an innovative approach for validating assessment outcomes, leveraging predicted sub-measurements, and transforming Boolean parameters' symbols into a binary…
Descriptors: Evaluation Methods, Models, Prediction, Employers
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Pankaj Chejara; Reet Kasepalu; Luis P. Prieto; María Jesús Rodríguez-Triana; Adolfo Ruiz Calleja; Bertrand Schneider – British Journal of Educational Technology, 2024
Multimodal learning analytics (MMLA) research has made significant progress in modelling collaboration quality for the purpose of understanding collaboration behaviour and building automated collaboration estimation models. Deploying these automated models in authentic classroom scenarios, however, remains a challenge. This paper presents findings…
Descriptors: Cooperation, Learning Activities, Models, Learning Modalities
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Overberg, Jasmin; Lehmkuhl, Pia; Schütz, Marcel; Röbken, Heinke – European Journal of Higher Education, 2020
In this article, we analyse reforms of academic quality assurance in light of organizational theory using the case example of Finnish higher education. Our purpose is to shed light on the processes behind repeated reforms and the motivation to continuously modify quality models that have only been in use for a relatively short period of time. In…
Descriptors: Educational Change, Higher Education, Educational Quality, Quality Assurance
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Alfin, Jauharoti; Fuad, Ah. Zakki; Nur, Mohamad; Yuanita, Leny; Prahani, Binar Kurnia – International Journal of Instruction, 2019
This Research & Development (R & D) aims to develop and produce a qualified Group Science Learning (GSL) model. The main product is the GSL model that has the following syntax: (1) Motivation and problem orientation based on Internet of things, (2) Collaborative problem-solving activities, (3) Presenting, (4) Nonroutine problem-solving,…
Descriptors: Self Esteem, Science Process Skills, Cooperative Learning, Problem Solving
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Bolloju, Narasimha – ACM Transactions on Computing Education, 2022
Domain models in software engineering--often represented as class diagrams--depict relevant classes in a given problem domain along with necessary relationships among those classes. These models are important because they establish links between the requirements of a given system under development and the subsequent phases of the systems…
Descriptors: Models, Computer Software, Student Attitudes, Cooperation
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