New Pub: Tracking students’ progression in developing understanding of energy using AI technologies

New Pub: Tracking students’ progression in developing understanding of energy using AI technologies

Artificial Intelligence, Journal, Publication, School
[caption id="attachment_7553" align="alignright" width="400"] Instructional unit, with pre- and post-test, as well as lesson-set-level assessment[/caption] In physics education, some students fail to have the foundational knowledge of energy concepts needed to engage in societal debates on climate change and energy transformation. A newly published study highlights the potential of AI to identify students with different learning trajectories and to help bridge the knowledge gaps. The researchers used a digital workbook designed to teach energy concepts to collect detailed interaction data from over 500 students. After applying exclusion criteria, data from 172 students were analyzed to identify their productive and unproductive learning curves. [caption id="attachment_7554" align="alignleft" width="400"] Example single choice pretest item[/caption] By using machine learning, specifically random forest models, and natural language processing (NLP), the researchers were able to classify…
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A Warm Welcome to Our Guest Researcher Yildiz Uzun

A Warm Welcome to Our Guest Researcher Yildiz Uzun

New Pub
We are delighted to welcome Yildiz Uzun as a guest researcher in our team! Yildiz is a PhD student at the Knowledge Lab, Institute of Education (IOE), University College London (UCL). Her research explores how students regulate their learning with the support of learning analytics feedback in the form of a dashboard, with a particular focus on how they engage with this feedback. She also examines how engagement with analytics feedback can be scaffolded and enhanced through the integration of an Artificial Intelligence (AI) assistant. During her visit to DIPF, she will collaborate with Prof. Hendrik Drachsler and the EduTec team to advance her current AI-driven feedback process by analysing student queries to the AI assistant, evaluating the pedagogical quality of AI responses and identifying ways to optimise conversational systems…
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[Workshop] Introduction to Language Technology and Language Modeling for Education

[Workshop] Introduction to Language Technology and Language Modeling for Education

New Pub
At the recent 19th Joint Summer School on Technology-Enhanced Learning located in Rhetimno, Greece, I (Sebastian Gombert) gave an introductory workshop on language technology and language modeling and their various use cases of in education. This included use cases such as short answer scoring, essay scoring, classification of texts according to the CEFR framework, and group communication analysis in CSCL. Overall, the workshop was well-received and well-attended.
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New Pub: Pedagogical Framework for Hybrid Intelligent Feedback

New Pub: Pedagogical Framework for Hybrid Intelligent Feedback

Artificial Intelligence, Feedback, Journal, Publication
[caption id="attachment_7525" align="alignright" width="300"] Principles of hybrid intelligent Feedback[/caption] ChatGPT and other Generative Artificial Intelligence (GenAI) tools have quickly become an active part of everyday academic life. Both teachers and students use them regularly to do research, summarize texts or responses, create exercises or quizzes or explain course content. But GenAI needs to be used in a sensible manner and consistent with sound teaching principles. Otherwise, it could lead to an over-reliance on technology and neglect the important roles of teachers and students. Ideally, GenAI should be used to complement rather than replace human-centered education. When pedagogical practices combine the strengths of humans and AI, this can ultimately lead to enhanced creativity, empathy and academic comprehension of students. A recently published paper explores a promising field of human-AI collaboration in…
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New Pub: Memorizing Plans With an App

New Pub: Memorizing Plans With an App

Journal, Learning Analytics, Publication, School, Self-Regulation
Mobile phones and devices are an integral part of the daily lives of students, and educators are increasingly trying to take advantage of this day-to-day usage for educational purposes. But how can mobile technologies, like app-based learning activities, be designed to effectively help students in the learning process? [caption id="attachment_7331" align="alignright" width="500"] Screenshots of the reading (A), puzzle (B), and emoji (C) activity[/caption] A newly published study from Daniel Biedermann, Jasmin Breitwieser, Lea Nobbe, Hendrik Drachsler and Garvin Brod tries to answer this question. Using the PROMT app, the team compared three types of learning activities used by children aged 9 to 14 years to memorize one learning plan per day over the course of 27 days. The activities varied in their planned level of cognitive engagement based on the…
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New Pub: The Student Feedback Literacy Instrument (SFLI)

New Pub: The Student Feedback Literacy Instrument (SFLI)

Feedback, Further Education, Journal, New Pub
In the context of higher education, feedback plays an especially important role in the learning process. For students it is not only important to receive feedback, but also to be able to understand and process this feedback in a manner which helps them make learning progress. The knowledge, skills and attitudes students need to navigate the feedback process successfully are referred to as feedback literacy. A recently published study presents a refined version of the Student Feedback Literacy Instrument (SFLI), which offers a powerful tool to measure feedback literacy construct across multiple languages and cultures. The SFLI aims to measure feedback literacy across two key dimensions: feedback attitudes and feedback practices. The full-length version of the instrument was recently refined and tested, alongside a short-form version (SFLI-S), in a multilingual…
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New Pub: Impact of Artificial Intelligence Based Systems to Improve Mathematics Achievement in Rural Schools

New Pub: Impact of Artificial Intelligence Based Systems to Improve Mathematics Achievement in Rural Schools

Artificial Intelligence, Journal, New Pub, School
Poor mathematics achievement, especially in rural areas, remains a persistent challenge. Schools in rural areas often struggle to attract and retain highly qualified mathematics teachers, and the teacher shortage across the United States further amplifies this issue. Numerous studies indicate that AI-based systems can enhance mathematics achievement and improve test scores on both standardized and non-standardized tests in K-12 and higher education. These systems offer adaptive and personalized education tailored to the unique needs of each student. By creating learning pathways based on students' current knowledge and offering real-time feedback and support, AI-based systems have the potential to improve learning outcomes across the P-20 educational spectrum. Despite the increasing adoption of AI-based tools, there is limited research on its impact on K-12 classrooms within rural contexts, especially among socioeconomically disadvantaged…
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New Pub: Understanding Learning Engagement in Asynchronous Online Settings

New Pub: Understanding Learning Engagement in Asynchronous Online Settings

Higher Education, Journal, Learning Analytics, Publication
A newly published study illustrates the complexities of learning engagement (LE) in asynchronous online settings (AOSs) for university students. For university students it can be difficult to learn in such environments since these lack real-time interactions. This also makes it difficult for teachers to measure how engaged students actually are with their study materials. Through trace data, learning analytics can be used as a foundation to analyze students’ learning methods and LE. The study investigates whether LE can be characterized by the sub-dimensions: effort, attention and content interest. The study also explores the question of which trace data from student behavior within AOSs can best represent these factors of LE in self-reports. The research involved 764 university students and utilized best-subset regression analysis to determine which indicators most reliably represent…
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New Pub: Learning At and From a Virtual Conference

New Pub: Learning At and From a Virtual Conference

Higher Education, Journal, New Pub
In light of the COVID pandemic and the climate crisis, many academic conferences have switched from face-to-face to virtual or hybrid conferences. The advantages of completely virtual conferences are clear. The organizers don’t need to look for physical rooms to book or need to organize food or drinks for participants. For the participants, this form of conferences can also be advantageous because there are no travel expenses and no travel time. Those participating from other countries can even take part in the conference despite being in different time zones or continents. The advantages go hand in hand with the disadvantages of limited personal interaction: no scientific (or leisurely) discussions during a coffee break or a chance to get to know fellow researchers seated nearby before a session begins. With all…
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New Pub: Revolutionizing Essay Scoring with Hierarchical Rater Models

New Pub: Revolutionizing Essay Scoring with Hierarchical Rater Models

Artificial Intelligence, Assessment, Higher Education, Journal, New Pub
For a special issue on Natural Language Processing in Psychology we proposed a hierarchical rater model-based approach to address the challenges in automatic essay scoring. Essay writing tests are an integral part of educational systems, essential for assessing students' critical thinking, articulation and understanding. Since the manual scoring process requires significant resources and time, teachers are beginning to use Automated Essay Scoring (AES), which is potentially capable of alleviating the manual effort involved. #AutomatedEssayScoring #NaturalLanguageProcessing #FormativeAssessment #EducationalTechnology #MachineLearning #AIinEducation #HierarchicalRaterModel #EdTech #ScoringAutomation #AI #AssessmentTools #MeasurementInvariance #TransformerModels #EducationResearch #UniversityTesting #AIModels #TechInEducation There are an abundance of available models and each one has its own unique features and scoring methods. Thus, selecting the optimal model is complex and challenging, especially when different aspects of content have to be assessed over a number…
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