Andreas Lachner

Orcid: 0000-0001-5866-7164

According to our database1, Andreas Lachner authored at least 13 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
What predicts students' future ICT literacy? Evidence from a large-scale study conducted in different stages of secondary school.
Comput. Educ., October, 2023

High-quality digital distance teaching during COVID-19 school closures: Does familiarity with technology matter?
Comput. Educ., July, 2023

Will, skills, or conscientiousness: What predicts teachers' intentions to participate in technology-related professional development?
Comput. Educ., June, 2023

2022
Self-concept but not prior knowledge moderates effects of different implementations of computer-assisted inquiry learning activities on students' learning.
J. Comput. Assist. Learn., 2022

Do school students' academic self-concept and prior knowledge constrain the effectiveness of generating technology-mediated explanations?
Comput. Educ., 2022

2021
Fostering pre-service teachers' technological pedagogical content knowledge (TPACK): A quasi-experimental field study.
Comput. Educ., 2021

Variability of teachers' technology integration in the classroom: A matter of utility!
Comput. Educ., 2021

2019
A test-based approach of Modeling and Measuring Technological Pedagogical Knowledge.
Comput. Educ., 2019

2017
Formative computer-based feedback in the university classroom: Specific concept maps scaffold students' writing.
Comput. Hum. Behav., 2017

2014
Effects of visual feedback on medical students' procrastination within web-based planning and reflection protocols.
Comput. Hum. Behav., 2014

2013
Experts' Explanations Engage Novices in Deep-Processing.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
How Metacognitive Awareness Caused A Domino Effect in Learning.
Proceedings of the Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences, 2012

A Graph-Oriented Approach to Measuring Expertise- Detecting Structural Differences between Experts and Intermediates.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012


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