Page 87 - IWM_Jahresbericht_2019

PUBLIKATIONEN | FB INDIVIDUELLE NUTZUNG VON WISSENSMEDIEN 87

Merz, S., Meyerhoff, H. S., Spence, C., & Schüler, A., Pazzaglia, F., & Scheiter, K. Leifheit, L., Tsarava, K., Moeller, K., Oster-
Frings, C. (2019). Implied tactile motion: (2019). Specifying the boundary conditions mann, K., Golle, J., Trautwein, U., & Ninaus,
Localizing dynamic stimulations on the skin. of the multimedia effect: The influence of M. (2019). Development of a Questionnaire
Attention, Perception, & Psychophysics, 81 (3), content and its distribution between text on Self-concept, Motivational Beliefs, and
794-808. https://dx.doi.org/10.3758/s13414- and pictures. British Journal of Psychology, Attitude Towards Programming. Proceed-
018-01645-9 110, 126-150. https://dx.doi.org/10.1111/ ings of WiPSCE ’19: Workshop in Primary and
Ninaus, M., Greipl, S., Kiili, K., Lindstedt, bjop.12341 Secondary Computing Education (WiPSCE ’19)
A., Huber, S., Klein, E., Karnath, H.-O., & Weidenauer, C., Vollmer, C., Scheiter, K., (Article No. 26). New York, NY, USA: ACM.
Moeller, K. (2019). Increased emotional & Randler, C. (2019). Weak Associations https://dx.doi.org/10.1145/3361721.3361730
engagement in game-based learning – of Morningness-Eveningness and Stability Leroy, C., Kammerer, Y., Oestermeier,
A machine learning approach on facial with Skin Temperature and Cortisol Levels. U., Buringer, K., Bitzer, M., & Gerjets, P.
emotion detection data. Computers & Journal of Circadian Rhythms, 17 (1), 8. https:// (2019). Inferential Reasoning Driving Clinical
Education, 142, 103641. https://dx.doi. dx.doi.org/10.5334/jcr.182 Diagnosis: Suggestions for New Assessment
org/10.1016/j.compedu.2019.103641 Approaches. Proceedings of the 32nd IEEE
International Symposium on Computer Based
Reinert, R. M., Hartmann, M., Huber, S., & Medical Systems (CBMS) (pp. 551-554). IEEE.
Moeller, K. (2019). Unbounded number line Beiträge in Proceedings- und
estimation as a measure of numerical esti- Tagungsbänden https://dx.doi.org/10.1109/cbms.2019.00113
mation. PLOS ONE, 14 (3), e0213102. https:// Ninaus, M., Tsarava, K., & Moeller, K. (2019).
dx.doi.org/10.1371/journal.pone.0213102 Appel, T., Sevcenko, N., Wortha, F., Tsarava, A Pilot Study on the Feasibility of Dynamic
Richter, J., & Scheiter, K. (2019). Studying K., Moeller, K., Ninaus, M., Kasneci, E., Difficulty Adjustment in Game-Based
the expertise reversal of the multimedia & Gerjets, P. (2019). Predicting Cognitive Learning Using Heart-Rate. Proceedings of
signaling effect at a process level: evidence Load in an Emergency Simulation Based Games and Learning Alliance conference (GALA
from eye tracking. Instructional Science, 47, on Behavi oral and Physiological Measures. 2019) – Lecture Notes in Computer Science
627–658. https://dx.doi.org/10.1007/s11251- Proceedings of the 21st ACM International (pp. 117-128). Springer. https://dx.doi.
019-09492-3 Conference on Multimodal Interaction (pp. org/10.1007/978-3-030-34350-7_12
154-163). New York, NY, USA: ACM. Pardi, G., Kammerer, Y., & Gerjets, P.
Ruiz Fernández, S., Kastner, L., Cerve- (2019). Search and Justification Behavior
ra-Torres, S., Müller, J., & Gerjets, P. (2019). Barrocas, R., Ninaus, M., Tsarava, K.,
Moved by emotions: Affective concepts Gawrilow, C., Lachmair, M., Roesch, S., During Multimedia Web Search for Proce-
dural Knowledge. In P. Boldi et al. (Eds.),
representing personal life events induce & Moeller, K. (2019). Digits grasp digits:
freely performed steps in line with combined Numbers on your fingertips. Proceedings Companion Publication of the 10th ACM
Conference on Web Science (pp. 17-20).
sagittal and lateral space-valence associa- of the 11th International Conference on
tions. Frontiers in Psychology, 10:2787. https:// Education and New Learning Technologies New York, NY: ACM Press. https://dx.doi.
dx.doi.org/10.3389/fpsyg.2019.02787 (EDULEARN19) (pp. 7165-7174). Barcelona, org/10.1145/3328413.3329405
Valencia: IATED Academy. Tsarava, K., & Leifheit, L. (2019). Compu-
Scheiter, K., & Lachner, A. (2019). DigitalPakt
– was nun? Eine Positionierung aus Sicht der Fortenbacher, A., Ninaus, M., Yun, H., tational Thinking with CS unplugged. In
Lehr-Lernforschung. Unterrichtswissenschaft, Helbig, R., & Moeller, K. (2019). Sensor- L. Cassone, M. Romero, T. Vieville, C. de
47 (4), 547-564. https://dx.doi.org/10.1007/ based adaptive learning – Lessons Smet, & M. Ndiaye (Eds.), Proceedings of ANR
s42010-019-00059-2 learned. In N. Pinktwart & J. Konert (Eds.), #CreaMaker workshop: co-creativity, robotics
DELFI 2019 (pp. 193-198). Bonn: Gesell- and maker education (pp. 15-17). Nice,
Scheiter, K., Schubert, C., Schüler, A., schaft für Informatik e. V. https://dx.doi. France: Université Côte d’Azur.
Schmidt, H., Zimmermann, G., Wasser- org/20.500.12116/24397
mann, B., Krebs, M.-C., & Eder, T. (2019). Tsarava, K., Leifheit, L., Ninaus, M., Román-
Adaptive multimedia: Using gaze-contingent Greipl, S., Moeller, K., Kiili, K., & Ninaus, M. González, M., Butz, M. V., Golle, J., Traut-
instructional guidance to provide personal- (2019). Lifelong Learning with a Digital Math wein, U., & Moeller, K. (2019). Cognitive
ized processing support. Computers & Educa- Game: Performance and Basic Experience Correlates of Computational Thinking:
tion, 139, 31-47. https://dx.doi.org/10.1016/j. Differences Across Age. In A. Liapis et al. Evaluation of a Blended Unplugged/
compedu.2019.05.005 (Eds.), Proceedings of Games and Learning Alli- Plugged-In Course. Proceedings of WiPSCE
ance conference (GALA 2019) – Lecture Notes ’19: Workshop in primary and Secondary
Schmidgall, S. P., Eitel, A., & Scheiter, K. in Computer Science (pp. 301-311). Springer. Computing Education (WiPSCE ’19) (Article No.
(2019). Why do learners who draw perform https://dx.doi.org/10.1007/978-3-030-34350- 24). New York, NY, USA: ACM. https://dx.doi.
well? Investigating the role of visualiza- 7_29 org/10.1145/3361721.3361729
tion, generation and externalization in
learner-generated drawing. Learning and Halfmann, M., Stenzhorn, H., Gerjets, P., Tsarava, K., Moeller, K., & Ninaus, M. (2019).
Instruction, 60, 138-153. https://dx.doi. Kohlbacher, O., & Oestermeier, U. (2019). Board Games for Training Computational
org/10.1016/j.learninstruc.2018.01.006 User-Driven Development of a Novel Thinking. Proceedings of Games and Learning
Molecular Tumor Board Support Tool. In Alliance conference (GALA 2018) – Lecture Notes
Schüler, A. (2019). The integration of infor- S. Auer & M.-E. Vidal (Eds.), Lecture Notes in in Computer Science (pp. 90-100). Springer.
mation in a digital, multi-modal learning Bioinformatics: Vol. 11371. Data Integration https://dx.doi.org/10.1007/978-3-030-11548-
environment. Learning and Instruction, 59, in the Life Sciences, DILS 2018 (pp. 195-199). 7_9
76-87. https://dx.doi.org/10.1016/j.learnin- Cham, Switzerland: Springer. https://dx.doi.
struc.2017.12.005 org/10.1007/978-3-030-06016-9_18
Schüler, A., Arndt, J., & Scheiter, K. (2019). Kiili, K., Koskinen, A., & Ninaus, M. (2019).
Does text–picture integration also occur Intrinsic integration in rational number
with longer text segments? Applied Cognitive games – A systematic literature review. In
Psychology, 33 (6), 1137-1146. https://dx.doi. J. Koivisto & J. Hamari (Eds.), Proceedings of
org/10.1002/acp.3558 the 3rd International GamiFIN Conference (pp.
35-46). Pori: CEUR Workshop Proceedings.