Guido Makransky
Guido Makransky
Associate Professor of Psychology, University of Copnhagen
Verified email at psy.ku.dk - Homepage
Title
Cited by
Cited by
Year
Adding immersive virtual reality to a science lab simulation causes more presence but less learning
G Makransky, TS Terkildsen, RE Mayer
Learning and Instruction 60, 225-236, 2019
2502019
Critical Values for Yen’s Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations
KB Christensen, G Makransky, M Horton
Applied psychological measurement 41 (3), 178-194, 2017
1632017
Improving biotech education through gamified laboratory simulations
MT Bonde, G Makransky, J Wandall, MV Larsen, M Morsing, H Jarmer, ...
Nature biotechnology 32 (7), 694-697, 2014
1472014
Testing vocational interests and personality as predictors of person-vocation and person-job fit
KH Ehrhart, G Makransky
Journal of Career Assessment 15 (2), 206-226, 2007
1072007
A structural equation modeling investigation of the emotional value of immersive virtual reality in education
G Makransky, L Lilleholt
Educational Technology Research and Development 66 (5), 1141-1164, 2018
922018
Simulation based virtual learning environment in medical genetics counseling: an example of bridging the gap between theory and practice in medical education
G Makransky, MT Bonde, JSG Wulff, J Wandall, M Hood, PA Creed, ...
BMC medical education 16 (1), 1-9, 2016
892016
Early productive vocabulary predicts academic achievement 10 years later
D Bleses, G Makransky, PS Dale, A Højen, BA Ari
Applied Psycholinguistics 37 (6), 1461-1476, 2016
692016
Virtual simulations as preparation for lab exercises: Assessing learning of key laboratory skills in microbiology and improvement of essential non-cognitive skills
G Makransky, MW Thisgaard, H Gadegaard
PloS one 11 (6), e0155895, 2016
692016
Development and validation of the Multimodal Presence Scale for virtual reality environments: A confirmatory factor analysis and item response theory approach
G Makransky, L Lilleholt, A Aaby
Computers in Human Behavior 72, 276-285, 2017
652017
Investigating the effect of pre-training when learning through immersive virtual reality and video: A media and methods experiment
OA Meyer, MK Omdahl, G Makransky
Computers & Education 140, 103603, 2019
502019
An automatic online calibration design in adaptive testing
G Makransky, CAW Glas
Journal of Applied Testing Technology 11 (1), 1-20, 2014
462014
Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments
G Makransky, S Borre‐Gude, RE Mayer
Journal of Computer Assisted Learning 35 (6), 691-707, 2019
412019
Psychometric properties of the parent and teacher ADHD Rating Scale (ADHD-RS) measurement invariance across gender, age, and informant
G Makransky, N Bilenberg
Assessment 21 (6), 694-705, 2014
402014
Investigating the process of learning with desktop virtual reality: A structural equation modeling approach
G Makransky, GB Petersen
Computers & Education 134, 15-30, 2019
362019
A gender matching effect in learning with pedagogical agents in an immersive virtual reality science simulation
G Makransky, P Wismer, RE Mayer
Journal of Computer Assisted Learning 35 (3), 349-358, 2019
362019
Virtual learning simulations in high school: Effects on cognitive and non-cognitive outcomes and implications on the development of STEM academic and career choice
M Thisgaard, G Makransky
Frontiers in Psychology 8, 805, 2017
312017
Improving personality facet scores with multidimensional computer adaptive testing: An illustration with the NEO PI-R
G Makransky, EL Mortensen, CAW Glas
Assessment 20 (1), 3-13, 2013
302013
Does the Over-Claiming Questionnaire measure overclaiming? Absent convergent validity in a large community sample.
SG Ludeke, G Makransky
Psychological Assessment 28 (6), 765, 2016
292016
Role of subjective and objective measures of cognitive processing during learning in explaining the spatial contiguity effect
G Makransky, TS Terkildsen, RE Mayer
Learning and Instruction 61, 23-34, 2019
242019
Analysis of the construct validity and measurement invariance of the career decision self-efficacy scale: A Rasch model approach
G Makransky, ME Rogers, PA Creed
Journal of Career Assessment 23 (4), 645-660, 2015
242015
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