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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
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Adelson de Araujo; Pantelis M. Papadopoulos; Susan McKenney; Ton de Jong – Journal of Computer Assisted Learning, 2024
Background: Sustaining productive student-student dialogue in online collaborative inquiry learning is challenging, and teacher support is limited when needed in multiple groups simultaneously. Collaborative conversational agents (CCAs) have been used in the past to support student dialogue. Yet, research is needed to reveal the characteristics…
Descriptors: Learning Analytics, Computer Mediated Communication, Artificial Intelligence, Dialogs (Language)
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Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
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Wollny, Sebastian; Di Mitri, Daniele; Jivet, Ioana; Muñoz-Merino, Pedro; Scheffel, Maren; Schneider, Jan; Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gaševic, Dragan; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners and their contexts to gain insights into learning processes. As the technology of Learning Analytics is evolving, many systems are being implemented. In this context, it is essential to understand stakeholders'…
Descriptors: Foreign Countries, College Students, Learning Analytics, Expectation
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Yuhui Jing; Chengliang Wang; Zhaoyi Chen; Shusheng Shen; Rustam Shadiev – Journal of Computer Assisted Learning, 2024
Background Study: Technology-supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology-supported learning environment research allows for the…
Descriptors: Educational Technology, Technology Uses in Education, Educational Environment, Educational Research
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Leeuwestein, Hanneke; Barking, Marie; Sodaci, Hande; Oudgenoeg-Paz, Ora; Verhagen, Josje; Vogt, Paul; Aarts, Rian; Spit, Sybren; de Haas, Mirjam; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
Providing first language (L1) translations in L2 vocabulary interventions may be beneficial for L2 vocabulary learning. However, in linguistically diverse L2 classrooms, teachers cannot provide L1 translations to all children. Social robots do offer such opportunities, as they can be programmed to speak any combination of languages. This study…
Descriptors: Native Language, Translation, Second Language Learning, Vocabulary Development
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Whitelock-Wainwright, Alexander; Gaševic, Dragan; Tsai, Yi-Shan; Drachsler, Hendrik; Scheffel, Maren; Muñoz-Merino, Pedro J.; Tammets, Kairit; Delgado Kloos, Carlos – Journal of Computer Assisted Learning, 2020
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two-factor structure of "Ethical and…
Descriptors: Questionnaires, Test Construction, Test Validity, Learning Analytics
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Ligorio, M. B.; Van der Meijden, H. – Journal of Computer Assisted Learning, 2008
The purpose of this study is to provide guidelines for teachers to carry out cross-national educational projects in schools through the introduction of virtual environments as a means of reshaping classroom-based activities. The theoretical foundations of the study are rooted in computer supported collaborative learning and the community of…
Descriptors: Educational Strategies, Student Evaluation, Primary Education, Guidelines
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Beishuizen, J. J. – Journal of Computer Assisted Learning, 1992
Discussion of teaching complex knowledge domains through exploration highlights two experiments that investigated the educational value of a Dutch computer simulation program which models the relationship between erosion and agriculture in a developing country as part of the secondary school geography curriculum. Learning by doing versus learning…
Descriptors: Agriculture, Analysis of Variance, Comparative Analysis, Computer Assisted Instruction
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Karasavvidis, Ilias; Pieters, J. M.; Plomp, T. – Journal of Computer Assisted Learning, 2003
Describes a study of secondary school students in the Netherlands that compared the use of paper and pencil or computer spreadsheets to solve correlational problems in geography. Discusses results of videotape transcripts that compared teacher and student behaviors and considered mechanisms through which computers contribute to learning.…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Conventional Instruction, Correlation