Procrastination and self-efficacy: Tracing vicious and virtuous circles in self-regulated learning K Wäschle, A Allgaier, A Lachner, S Fink, M Nückles Learning and instruction 29, 103-114, 2014 | 331 | 2014 |
Professional knowledge or motivation? Investigating the role of teachers’ expertise on the quality of technology-enhanced lesson plans I Backfisch, A Lachner, C Hische, F Loose, K Scheiter Learning and instruction 66, 101300, 2020 | 218 | 2020 |
Variability of teachers’ technology integration in the classroom: A matter of utility! I Backfisch, A Lachner, K Stürmer, K Scheiter Computers & Education 166, 104159, 2021 | 167 | 2021 |
What makes an expert teacher? Investigating teachers’ professional vision and discourse abilities A Lachner, H Jarodzka, M Nückles Instructional science 44, 197-203, 2016 | 131 | 2016 |
Fostering pre-service teachers’ technological pedagogical content knowledge (TPACK): A quasi-experimental field study A Lachner, A Fabian, U Franke, J Preiß, L Jacob, C Führer, U Küchler, ... Computers & Education 174, 104304, 2021 | 120 | 2021 |
A test-based approach of modeling and measuring technological pedagogical knowledge. A Lachner, I Backfisch, K Stürmer Computers & Education, 2019 | 104 | 2019 |
Generating an instructional video as homework activity is both effective and enjoyable V Hoogerheide, J Visee, A Lachner, T van Gog Learning and Instruction 64, 101226, 2019 | 74 | 2019 |
Providing Written or Oral Explanations? Differential Effects of the Modality of Explaining on Students' Conceptual Learning and Transfer A Lachner, KT Ly, M Nückles The Journal of Experimental Education, 1-18, 2018 | 71 | 2018 |
Timing matters! Explaining between study phases enhances students’ learning. A Lachner, I Backfisch, V Hoogerheide, T van Gog, A Renkl Journal of Educational Psychology, 2020 | 67 | 2020 |
Learning by explaining orally or in written form? Text complexity matters L Jacob, A Lachner, K Scheiter Learning and Instruction 68, 101344, 2020 | 62 | 2020 |
Tell me why! Content knowledge predicts process-orientation of math researchers’ and math teachers’ explanations A Lachner, M Nückles Instructional Science 44, 221-242, 2016 | 62 | 2016 |
Bothered by abstractness or engaged by cohesion? Experts’ explanations enhance novices’ deep-learning. A Lachner, M Nückles Journal of Experimental Psychology: Applied 21 (1), 101, 2015 | 62 | 2015 |
Learning by writing explanations: Is explaining to a fictitious student more effective than self-explaining? A Lachner, L Jacob, V Hoogerheide Learning and Instruction 74, 101438, 2021 | 59 | 2021 |
Learning-by-teaching without audience presence or interaction: When and why does it work? A Lachner, V Hoogerheide, T van Gog, A Renkl Educational Psychology Review 34 (2), 575-607, 2022 | 54 | 2022 |
Mind the Gap! Automated Concept Map Feedback Supports Students in Writing Cohesive Explanations. A Lachner, C Burkhart, M Nückles Journal of Experimental Psychology: Applied, 2017 | 53 | 2017 |
Formative computer-based feedback in the university classroom: Specific concept maps scaffold students' writing A Lachner, C Burkhart, M Nückles Computers in Human Behavior 72, 459-469, 2017 | 50 | 2017 |
Effects of visual feedback on medical students’ procrastination within web-based planning and reflection protocols K Wäschle, A Lachner, B Stucke, S Rey, C Frömmel, M Nückles Computers in Human Behavior 41, 120-136, 2014 | 48 | 2014 |
Digitalisierung und Lernen mit digitalen Medien als Gegenstand der Lehrerinnen-und Lehrerbildung A Lachner, K Scheiter, K Stürmer Handbuch Lehrerinnen-und Lehrerbildung 67, 2020 | 46 | 2020 |
Teachers’ technology use for teaching: Comparing two explanatory mechanisms I Backfisch, R Scherer, F Siddiq, A Lachner, K Scheiter Teaching and Teacher Education 104, 103390, 2021 | 42 | 2021 |
Learning by writing explanations: computer-based feedback about the explanatory cohesion enhances students’ transfer A Lachner, C Neuburg Instructional Science, 2019 | 42 | 2019 |