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Irene-Angelica Chounta; Alejandro Ortega-Arranz; Sophia Daskalaki; Yannis Dimitriadis; Nikolaos Avouris – International Journal of Educational Technology in Higher Education, 2024
This paper aims to address Digital Readiness in Higher Education Institutions from the perspective of data-informed and evidence-based assessment of Digital Readiness. Related research suggests that existing instruments for assessing digitalization aspects are limited to self-assessment, and there is a need for data-informed frameworks that will…
Descriptors: Colleges, Technological Literacy, Stakeholders, Foreign Countries
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Ezi Apino; Edi Istiyono; Heri Retnawati; Widihastuti Widihastuti; Kana Hidayati – Journal of Pedagogical Research, 2024
Assessment of attitudes towards statistics [ATS] is needed to support the success of statistics education in tertiary institutions, so measuring instruments with high accuracy is required. However, existing instruments to measure ATS have not considered the use of technology as an essential variable affecting success in statistics education. The…
Descriptors: Foreign Countries, College Students, College Faculty, Statistics Education
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Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
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Federica Picasso – Research on Education and Media, 2024
In the current higher education context, the development of academics' competencies seems to be a crucial issue, with a strong focus on teaching, learning and assessment digital skills (Redecker & Punie, 2017). In connection with the framework of DigCompEdu (2017), it seems important to understand how to better sustain academics' new…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Feedback (Response), Evaluation Methods
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Timothy S. Faith – Teaching and Learning Excellence through Scholarship, 2024
This study compared traditional methods of college-level instruction, including lecture and class discussion followed by assessment via course content exams, with a variety of other instructional techniques. The intent was to evaluate whether more contemporary instructional techniques are significantly correlated with improved average exam scores…
Descriptors: Community College Students, Business Administration Education, Teaching Methods, Alternative Assessment
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Dongpeng Huang; Yixuan Huang; James J. Cummings – Australasian Journal of Educational Technology, 2024
The integration of generative artificial intelligence (GenAI) into web-based individual formative e-assessments in higher education is a nascent field that warrants further exploration. This study investigated the use of GenAI within an 8-week undergraduate-level research methods course at a university in the United States of America, aiming to…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Formative Evaluation
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Yishen Song; Qianta Zhu; Huaibo Wang; Qinhua Zheng – IEEE Transactions on Learning Technologies, 2024
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
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Jonathan Serfaty; Raquel Serrano – Language Learning & Technology, 2024
Digital flashcard apps allow students to learn and practice foreign language vocabulary independently and efficiently, leaving more classroom time for communicative activities. However, words learned this way may be forgotten. Previous lab studies have shown that vocabulary retrieval practice can be optimized for long-term memory by employing…
Descriptors: Computer Assisted Testing, Computer Software, Vocabulary Development, Secondary School Students
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Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
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Ritonga, Mahyudin; Shaban, Ahmad Abdulkareem; Al-Rashidi, Anwar Hammad; Chilani, Noam – Language Testing in Asia, 2023
Every decision made in the classroom has the potential to either help or hurt a student's development as a learner. When students' mental and emotional well-being are taken into account, effective instruction and assessment are possible, despite the importance of learners' engagement in assessment (LEA), test-taking skills (TTS), self-assessment…
Descriptors: Learner Engagement, Student Evaluation, Test Wiseness, Resilience (Psychology)
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Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
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Yildirim-Erbasli, Seyma N.; Bulut, Okan; Demmans Epp, Carrie; Cui, Ying – Journal of Educational Technology Systems, 2023
Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer Mediated Communication, Formative Evaluation
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Nikolic, Sasha; Daniel, Scott; Haque, Rezwanul; Belkina, Marina; Hassan, Ghulam M.; Grundy, Sarah; Lyden, Sarah; Neal, Peter; Sandison, Caz – European Journal of Engineering Education, 2023
ChatGPT, a sophisticated online chatbot, sent shockwaves through many sectors once reports filtered through that it could pass exams. In higher education, it has raised many questions about the authenticity of assessment and challenges in detecting plagiarism. Amongst the resulting frenetic hubbub, hints of potential opportunities in how ChatGPT…
Descriptors: Artificial Intelligence, Performance Based Assessment, Engineering Education, Integrity
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Escudero, Paola; Smit, Eline A.; Angwin, Anthony J. – Language Learning, 2023
Research has shown that novel words can be learned through the mechanism of statistical or cross-situational word learning (CSWL). So far, CSWL studies using adult populations have focused on the presentation of spoken words. However, words can also be learned through their written form. This study compared auditory and orthographic presentations…
Descriptors: Word Lists, Vocabulary Development, Comparative Analysis, Auditory Stimuli
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Madugula, Neelima; Allamsetty, Srikanth; Sinha, Abhinav; Mishra, Subhendu; Chandra, M. V. Satya Sai; Krishnan, Dhanya – Journal of Applied Research in Higher Education, 2023
Purpose: With the current COVID-19 outbreak, the majority of the higher educational institutes (HEI) are conducting online examinations to assess their students, where both teachers and students are facing various constraints. Under these circumstances, it is very important to understand the perspectives of teachers and students towards online…
Descriptors: Teacher Attitudes, Student Attitudes, COVID-19, Pandemics
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