Atezaz Ahmad, Author at EduTec Science

Aug292022 by Atezaz AhmadNo Comments

New Pub: Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review

Higher Education, Journal, Learning Analytics, Self-Regulation

Self-regulated learning (SRL) is a crucial higher-order skill required by learners of the 21st century, who will need to become lifelong learners to adapt to the continually changing environments. Literature provides examples of tools for scaffolding SRL in online environments. In this study, we provide the state-of-the-art concerning tools that support SRL in terms of theoretical models underpinning development, supported SRL processes, tool functionalities, used data and visualizations. We reviewed 42 articles published between 2008 and 2020, including information from 25 tools designed to support SRL. Our findings indicate that (1) many of the studies do not explicitly specify the SRL theoretical model used to guide the design process of the tool; (2) goal setting, monitoring, and self-evaluation are the most prevalent SRL processes supported through functionalities such as content…

Aug242022 by Atezaz AhmadNo Comments

New Pub: Gendered differences versus doing gender: a systematic review on the role of gender in CSCL

Gender, Higher Education, Journal, Literature review, Meta-study, Open access, Publication, Special Issue, Team

How has CSCL research been treating the topic of Gender? Our systematic review on this topic is now published in Unterrichtswissenschaft and available online here. Gender equity in education is an essential UN sustainable development goal. However, it is unclear what aspects of gender are important to consider in regard to research outcomes as well as how findings can be interpreted in the context of gender stereotypes and bias. This lack of clarity is particularly salient in the STEM field. Computer-supported collaborative learning (CSCL) is a group learning method where learners work together on group tasks that aim at the sharing and co-construction of knowledge. Aside from the cognitive learning gains, the literature reports that CSCL can bring social and psychological benefits, such as fostering positive mutual relationships and increased understanding of equity and…

Aug192022 by Atezaz AhmadNo Comments

EARLI EFG Grant awarded

Award

The European Association for Research on Learning and Instruction (EARLI) offers an Emerging Field Group (EFG) funding scheme. The goal of the EFG initiative is to support the development of a research group focused on exploratory, innovative, and risk-taking research. EARLI supports the EFG over the course of a two-year period. See the following video for a short intro about EFG funding: [embed]https://youtu.be/P3ErXQdLU2U[/embed] This year, the EARLI EFG committee awarded funding to the "Social- and Telepresence in Online Social Learning" emerging field group, which consists of Emmy Vrieling Teunter (Open University, Netherlands), Kamakshi Rajagopal (KU Leuven, Belgium), Karel Kreijns (Open University, Netherlands), Maartje Henderikx (Open University, Netherlands), Derya Orhan Göksün (Adiyaman University, Turkey), and Joshua Weidlich (DIPF, Germany). The group will explore how perceptions of social-and telepresence are fostered in…

Jul272022 by Atezaz AhmadNo Comments

New Pub: Connecting the dots – A literature review on learning analytics indicators from a learning design perspective

Empirical Study, Higher Education, Journal, Learning Analytics, Learning Design, Lifelong Learning, Literature review, Open access, Publication, Self-Regulation, Special Issue, Target group

[caption id="attachment_4329" align="alignright" width="450"] Occurrences of the most commonly used learning analytic indicators over the past 10 years[/caption] Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a systematic literature review. 161 learning analytics (LA) articles were examined to identify indicators that were based on learning design events and their associated metrics. Through this research, we address two objectives. First, to achieve a better alignment between learning design and learning analytics by proposing a reference framework, where we present possible connections between learning analytics and learning design. Second, to present how…

Jul232022 by Atezaz AhmadNo Comments

Gender & STEM Conference 2022 – EduTec Member Dana Kube presented her Ph.D. work

Assessment, Conference, Conference, Digitalisation, Event, Higher Education, Journal, Learning Design, Publication, Workshop

A few impressions: After a two-year break, scholars can finally meet again for a personal exchange at the "Gender & STEM Conference". I was able to meet so many exciting people and studies, and I think that we German universities have benefited especially from the intersectional and feminist perspectives from the USA, Canada and the Netherlands: How do transgender students experience support in Computer Science? What can universities do to keep students of colour and especially women* of colour longer in STEM programmes? Stop fixing Women* in STEM was the tenor, fix the System: I go back to Frankfurt with a lot of smart approaches on the institutional and pedagogical level and a lot of encouraging feedback on my PhD thesis on Gender in STEM/Technology. My personal highlight was meeting…

Jul132022 by Atezaz AhmadNo Comments

HIKOF-DL – 3rd Committee Meeting with Industry Members

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project, Transfer Activity

On 11.7.2022, team members of the HIKOF-DL project held its third meeting with the project committee members consisting of industry partners. The partner companies / institutions include Goethe Business School, Provadis, GIZ, Deutsche Bahn, Mercedes Benz, Academie für Bildungsforschung und Lehrerbildung. The three project leaders are Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey (Goethe University Frankfurt) and Dr. David Weiss (studiumDigitale, Goethe University Frankfurt). In the meeting, Prof. Dr. Hendrik Drachsler and team members presented the ongoing research work namely the pilot study involving the course "Einführung in Unterricht sowie Diagnostik und Beratung" taught by Prof. Dr. Andreas Frey, with ca. 1000 students. One of the project aims is to make course assessment less time-consuming for the teaching staff, as this was a significant concern in such a course…

Jun172022 by Atezaz AhmadNo Comments

New Pub: Extending Social Presence Theory

Empirical Study, Higher Education, Journal, Learning Design, Publication

In the area of online learning and distance education, social presence is considered a key concept to understand interpersonal processes that are mediated by technology. At the same time, theory surrounding social presence remains underdeveloped. For example, under which conditions is social presence particularly important? Do students always need high perceptions of social presence in their learning experiences? A strong theory should provide tentative answers to questions like these. Yet, as of now, our knowledge is mostly restricted to correlations coefficients between measures of social presence and outcome variables like satisfaction. Without further nuance, learning designers do not know under which circumstances they should prioritize designing for interpersonal aspects or instead focus on other aspects. To advance a more nuanced understanding of social presence, Joshua Weidlich, Derya Göksün, and Karel…

Jun142022 by Atezaz AhmadNo Comments

New HIKOF-DL Video – Introduction to the project

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project

Studiumdigitale at Goethe University Frankfurt has created an informative video to introduce the HIKOF-DL project. HIKOF-DL stands for Hoch Informatives und Kompetenzorientiertes Feedback für das Digitale Lernen and is funded by the Hessen Ministry for Digital Strategy and Development from 2021-2024. Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey as well as Dr. David Weiss are project leaders of this interdisciplinary project. In the video below, they explained their roles and vision in this joint project. For more information about the project, please see the project website here: https://hikof.uni-frankfurt.de/

Jun52022 by Atezaz AhmadNo Comments

Workshop – Learning Psychomotor Skills with AI & AR/VR considering Technical and Mental Aspects

Artificial Intelligence, Augmented Reality, Event, Multimodal Learning Analytics, Project, Research topic, Summer School, Workshop

From May 21 to 28, the 16th version of the EATEL Summer School on Technology-Enhanced Learning (JTELSS 2022) was held in the city of Halkidiki, Greece, whose purpose is to promote the dissemination of research in the area of Technology Enhanced Learning and encourage international cooperation between researchers, students and people interested in this topic. As members of the MILKI-PSY project, Dr. Daniele Di Mitri, Fernando P. Cardenas Hernandez, Gianluca Romano and Dr. Jan Schneider attended JTELSS 2022. Additionally, Fernando P. Cardenas Hernandez and Gianluca Romano, as active participants in the summer school, presented the workshop entitled "Learning Psychomotor Skills with AI & AR/VR considering Technical and Mental Aspects". This workshop started with a theoretical introduction given by both exponents where the participants were able to identify some of the…

Jun32022 by Atezaz AhmadNo Comments

Workshop @JTELSS – Causal Reasoning for TEL researchers

Summer School, Workshop

At this year's JTEL summer school in Halkidiki, Greece (see previous blog post here), Joshua Weidlich presented a workshop on the topic of causal inference and causal graphs. The goal of this workshop was to equip young educational technology researchers with a toolkit for reasoning about causality and improving causal inference in their own research studies. Central to this approach are Directed Acyclic Graphs (DAGs), simple visual structures that encode variables and hypothesized causal effects. The resulting graphs can then be inspected with a few simple rules to learn whether a) causal inference is possible, b) bias is present. After establishing groundwork by laying out why causal inference is central to most research endeavours, information about the unique features of randomized experiments was provided alongside major sources of bias (see…