Blar i NTNU Open på forfatter "Sharma, Kshitij"
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Joint Emotional State of Children and Perceived Collaborative Experience in Coding Activities
Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Chapter, 2019)This paper employs facial features to recognize emotions during a coding activity with 50 children. Extracting group-level emotional states via facial features, allows us to understand how emotions of a group affect ... -
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning
Sharma, Kshitij; Lee-Cultura, Serena; Giannakos, Michail (Peer reviewed; Journal article, 2022)The integration of Multimodal Data (MMD) and embodied learning systems (such as Motion Based Educational Games, MBEG), can help learning researchers to better understand the synergy between students' interactions and their ... -
Kid Coding Games and Artistic Robots: Attitudes and Gaze Behavior
Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail; Jaccheri, Maria Letizia (Chapter, 2018)We present a study in the context of coding activities for children. Our main focus is towards understanding the relation between children’s attitudes towards coding and their behaviour while coding. Forty-four school ... -
Learner-computer interaction
Giannakos, Michail; Sharma, Kshitij; Martinez-Maldonado, Roberto; Dillenbourg, Pierre; Rogers, Yvonne (Chapter, 2018)The theme of NordiCHI'18 is revisiting the life cycle. The theme life cycles broadly addresses changes within the field of HCI from a technical as well as a societal perspective. The landscape of technology design has ... -
Localizing and identifying key features of a standardized electronic component datasheet utilizing object detection and natural language processing
Rønning, Gaute Wierød (Master thesis, 2023)Denne studien presenterer en programvareløsning som bruker og eksperimenterer med toppmoderne objektdeteksjons modeller og naturlig språkbehandling for å lokalisere og trekke ut interessepunkter i elektroniske komponent ... -
Monitoring Children’s Learning Through Wearable Eye-Tracking: The Case of a Making-Based Coding Activity
Giannakos, Michail; Papavlasopoulou, Sofia; Sharma, Kshitij (Journal article; Peer reviewed, 2020)Learning activities for/with children include rich interactions with peers, tutors, and learning materials (in digital or physical form). During such activities, children gain new knowledge and master their skills. Automatized ... -
Motion-Based Educational Games: Using Multi-Modal Data to Predict Player’s Performance
Lee-Cultura, Serena; Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Peer reviewed; Journal article, 2020)Multi-Modal Data (MMD) can help educational games researchers understand the synergistic relationship between player's movement and their learning experiences, and consequently uncover insights that may lead to improved ... -
Multi-modal Bayesian knowledge tracing
Hynne, Sigurd; Nordseth, Morten (Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multi-modal Bayesian knowledge tracing
Nordseth, Morten; Hynne, Sigurd (Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play
Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2021)Increased accessibility of lightweight sensors (e.g., eye trackers, physiological wristbands, and motion sensors), enable the extraction of student’s cognitive, physiological, skeletal, and affective data, as they engage ... -
Multimodal data as a means to understand the learning experience
Giannakos, Michail; Sharma, Kshitij; Pappas, Ilias; Kostakos, Vassilis; Velloso, Eduardo (Journal article; Peer reviewed, 2019)Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological ... -
Multimodal data capabilities for learning: What can multimodal data tell us about learning?
Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2020)Most research on learning technology uses clickstreams and questionnaires as their primary source of quantitative data. This study presents the outcomes of a systematic literature review of empirical evidence on the ... -
Multimodal learning analytics to inform learning design: Lessons learned from computing education
Mangaroska, Katerina; Sharma, Kshitij; Gasevic, Dragan; Giannakos, Michail (Peer reviewed; Journal article, 2020)Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited ... -
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?
Papamitsiou, Zacharoula; Sharma, Kshitij; Giannakos, Michail (Chapter, 2020)Popular approaches in learner modeling explore response-time as observational data supplemental to response correctness, to enrich the predictive models of learner knowledge. It has been argued that the relationship between ... -
Online reviews or marketer information? An eye-tracking study on social commerce consumers
Mikalef, Patrick; Sharma, Kshitij; Pappas, Ilias; Giannakos, Michail (Journal article; Peer reviewed, 2017)Driven by the increasing popularity of social commerce sites, this study seeks to examine the information sources and formats that influence consumer intentions to purchase. Specifically, we build on uses and gratifications ... -
Points of Science – Gamifying science activities out of school: An empirical study on game elements' effect on students' interest in and attitude towards science
Digernes, Andreas Naterstad; Uvsløkk, Einar (Master thesis, 2022)Samfunnet er avhengig av å ha opplyste borgere med ferdigheter innen realfag for å kunne håndtere globale utfordringer. Én stor utfordring er imidlertid nedgangen i elevers interesse for realfag gjennom skoleløpet. I denne ... -
Points of Science – Gamifying science activities out of school: An empirical study on game elements' effect on students' interest in and attitude towards science
Uvsløkk, Einar; Digernes, Andreas Naterstad (Master thesis, 2022)Samfunnet er avhengig av å ha opplyste borgere med ferdigheter innen realfag for å kunne håndtere globale utfordringer. Én stor utfordring er imidlertid nedgangen i elevers interesse for realfag gjennom skoleløpet. I denne ... -
Predicting learners' effortful behaviour in adaptive assessment using multimodal data
Sharma, Kshitij; Papamitsiou, Zacharoula; Olsen, Jennifer K.; Giannakos, Michail (Chapter, 2020)Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they ... -
Predicting students performance with the use of eye tracking and facial recognition to inform design principles for IDE intervention during collaborative debugging
Haugen, Øystein Bjørkeng (Master thesis, 2023)Programmering og aktiviteter som inngår i informatikk-studier krever komplekse kognitive prosesser, og involverer flere følelsesmessge og mentale dimensjoner. Ved å bruke datannsamling fra flere kilder, kan vi få innsikt ... -
Real time stress-aware feedback system for programming.
Larsen, Elias Sagmo; Romskaug, Torkjell (Master thesis, 2022)I denne masteroppgaven implementerer vi et sanntidssystem med kontinuerlig tilbakemelding basert på studentenes predikerte kognitive belastning. Systemet ble testet på to grupper elever i et mellom subjekt fageksperiment ...