This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…

Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…

Since the 1960s-1970s, the implementation of Computer-Assisted Language Learning concept has contributed to the progress made on Foreign Language Learning (FLL) in numerous ways. It has enabled the teachers and language learners to enrich the language learning process with improved interactivity with certain learning materials and gave rise to…

This paper reports part of a study that hoped to understand Teacher Educators' (TE) assessment of the affordances of selected cloud computing tools ranked among the top 100 for the year 2010. Research has shown that ICT and by extension cloud computing has positive impacts on daily life and this informed the Nigerian government's policy to…

The purpose of this mixed methods study was to employ the International Society for Technology in Education (ISTE) Standards for Students as taxonomy to classify educational mobile application (app) software into seven categories and empirically examine the influence on students' technology literacy. A purposeful sample of fifth grade core subject…

This research aims to explore how English for Specific Purposes (ESP) teachers and practitioners utilise new technologies, e.g. Massive Open Online Courses (MOOCs), webinars, online platforms, etc. as a means of self-scaffolding in order to exceed their threshold in pedagogical, linguistic, and discoursal competencies in various ESP domains. The…

Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…

Over the past twenty years phenomenal developments in technology have changed the nature of education. Students now have access to a vast range of resources 24/7. This instant access has created a certain expectation on the part of the student and there must now be very few, if any, courses taught in higher education where the lecturer does not…

This paper proposes a taxonomy of the pedagogical opportunities that are offered by mathematics analysis software such as computer algebra systems, graphics calculators, dynamic geometry or statistical packages. Mathematics analysis software is software for purposes such as calculating, drawing graphs and making accurate diagrams. However, its…

This Independent Learning Project (ILP) discusses the best practices in educational technology to improve the behavior, instruction, and learning of at-risk youth, for whom technology offers unique opportunities. Research is compiled from numerous scholarly print and online sources. A guide for teachers provides detailed strategies, software…

Students are, increasingly, digital content producers, and participate extensively in evolving online social networks. The emergence of the former represents subtle changes in students' experience of images, audience, copyright, ownership of learning, and technology. Experiencing the latter places students in an awkward position in terms of…

The proliferation of open technologies and content in higher education is motivated by broad embrace of a principle of sharing that is consonant with various contemporary economic, pedagogic and policy drivers. At the same time, open technologies and content present the possibility of a departure in the culture of humanities research and teaching.…

The development of digital content raises new issues as rapid technological developments challenge existing business models and government policies. This OECD study identifies and discusses six groups of business and public policy issues and illustrates these with existing and potential OECD Digital Content Strategies and Policies: (1) Innovation…