Active Graduate Students

Yarden Riskin
MSc. Track: Cognitive Psychology and Human-Factors EngineeringResearch title: Metacognitive regulation of mental effort among medical trainees
Expected graduation: 2022
email: yarden.riskin@gmail.comExpected graduation: 2022

Noam Gooz
MSc. Track: Cognitive Psychology and Human-Factors EngineeringResearch title: The metacognition of creativity
Expected graduation: 2022
email: noamgooz@campus.technion.ac.ilExpected graduation: 2022

Lidor Asulin
MSc. Track: Data Science and Engineering
Research title: Confidence Prediction Using Mouse Tracking DataExpected graduation: 2023
Graduated (partial list)

Shahar Gat
MSc. Track: Cognitive Psychology and Human-Factors EngineeringResearch title:
email: shahar.gat@campus.technion.ac.il
Ori Nizri-Tal
MSc. Track: Cognitive Psychology and Human-Factors EngineeringResearch title: Search behaviors - The evolvement of stopping criteria and confidence judgments with accumulation of experience Graduated: 2021; Combined supervision with Dr. Kinneret Teodorescu
email: ori.nizri.tal@gmail.com
Ofri Shefer-Gilat
MSc Track: Cognitive Psychology and Human-Factors Engineering (started at Organizational Behavior and changed during studies)Research Title: The Association Between Sense of agency and Metacognitive Accuracy in Problem SolvingGraduated: 2020
email: ofri.shefer@gmail.com
Marwan Abbas
MSc. Track: Cognitive Psychology and Human-Factors EngineeringResearch title: Improving metacognitive judgment reliability in Problem Solving
Expected graduation: 2022
email: marwanab@campus.technion.ac.ilExpected graduation: 2022

Ilan Torgovitsky
MSc Track: Cognitive Psychology and Human-Factors Engineering Research Title: Metacognitive Perspective on Strategic Allocation of Time across ItemsGraduated: 2018
email: ilantorgo@gmail.comPapers:
Ackerman, R., Yom-Tov, E., & Torgovitsky, I. (2020). Using confidence and consensuality to predict time invested in problem solving and in real-life web searching. Cognition, 199, 104248.
Sidi. Y., Torgovitsky, I., Soibelman, D.,Miron-Spektor, E., & Ackerman, R. (2020). You may be more original than you think: Predictable biases in self-assessment of originality. Acta Psychologica, 203, 103002. Continue Reading Ilan Torgovitsky

Dr. Yael Sidi
PhD Track: Cognitive Psychology and Human-Computer InteractionResearch Title: On the role of medium, computer screen vs. paper, as a cue for processing depthGraduated: 2017
email: yaelsi@openu.ac.ilWebsite: www.openu.ac.il/en/personalsites/YaelSidi.aspx
Papers:
Sidi, Y., Ophir, Y., Ackerman, R. (2016). Generalizing Screen Inferiority – Does the Medium, Screen versus Paper, Affect Performance Even with Brief Tasks? Metacognition & Learning, 11(1), 15-33.
Sidi, Y., Shpigelman, M., Zalmanov, H., & Ackerman, R. (2017). Understanding metacognitive inferiority on screen by exposing cues for depth of processing. Learning and Instruction, 51, 61-73.
Sidi, Y., Ackerman, R., & Erez, A. (2018). Feeling happy and (over)confident: The role of positive affect in metacognitive processes. Cognition & Emotion, 32(4), 876-884.
Sidi, Y., Torgovitsky, I., Soibelman, D., Miron-Spektor, E., & Ackerman, R. (2020). You may be more original than you think: Predictable biases in self-assessment of originality. Acta Psychologica, 203, 103002. Continue Reading Dr. Yael Sidi

Dr. Tirza Lauterman
Track: Cognitive Psychology and Human-Factors EngineeringMSc Research Title: The Hidden Cues behind the Screen - Media Effect on Improving Metacomprehension PhD Research Title: Initial Judgement of Solvability in Problem Solving: Non-verbal and Verbal Problems AccuracyGraduated MSc: 2013; PhD: 2020
email: tirza2502@gmail.comPapers:
Ackerman, R., & Lauterman, T. (2012). Taking reading comprehension exams on screen or on paper? A metacognitive analysis of learning texts under time pressure. Computers in Human Behavior, 28, 1816-1828.
Lauterman, T., & Ackerman, R. (2014). Overcoming screen inferiority in learning and calibration. Computers in Human Behavior, 35, 455-463.
Lauterman, T., & Ackerman, R. (2019). Initial Judgment of Solvability in non-verbal problems – A predictor of solving processes. Metacognition and Learning, 14(3), 365–383.
Continue Reading Dr. Tirza Lauterman

Dr. Roee Shraga
PhD Track: Data Science Research Title: (Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching ProblemsGraduated: 2020; Combined supervision with Prof. Avigdor Gal
email: shraga89@gmail.comPaper:
Ackerman, R., Gal, A., Sagi, T., Shraga, R. (2019). A cognitive model of human bias in matching. In Pacific Rim International Conference on Artificial Intelligence (PRICAI, pp. 632-646). Springer, Cham (Computer science conference proceedings; authors are in alphabetical order). Continue Reading Dr. Roee Shraga

Baillie Shuster
MSc Track: Cognitive Psychology and Human-Factors EngineeringResearch Title: The Moderating Effects of Fixed and Growth Mindsets on Meta-Reasoning ProcessesGraduated: 2020; Combined supervision with Dr. Liat Levontin
email: baillie.shuster@gmail.com
Asa Kinory
MSc. Track: Cognitive Psychology and Human-Factors EngineeringResearch title: The Role of Metacognitive Processes in Effectively Using Adaptive User Interfaces Expected graduation: 2021; Combined supervision with Prof. Avi Parush
email: asakinory@gmail.com