Submission declined on 5 November 2023 by
Ldm1954 (
talk). This submission does not appear to be written in
the formal tone expected of an encyclopedia article. Entries should be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources. Please rewrite your submission in a more encyclopedic format. Please make sure to avoid
peacock terms that promote the subject.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Submission declined on 21 September 2023 by
StartOkayStop (
talk). As stated by the previous reviewer, peacock terms and neutrality issues are still present. The Career section needs a complete rewrite. Notability can also be called into question because you have no independent, secondary sources about the subject. Sources like academic papers by the subject do not establish notability. Declined by
StartOkayStop 9 months ago. |
Submission declined on 26 August 2023 by
Johannes Maximilian (
talk). The peacock terms are still present, and the referencing still needs fixing. At least cite properly. Declined by
Johannes Maximilian 9 months ago. |
Submission declined on 2 June 2023 by
Greenman (
talk). This submission is not adequately supported by
reliable sources. Reliable sources are required so that information can be
verified. If you need help with referencing, please see
Referencing for beginners and
Citing sources. This submission does not appear to be written in
the formal tone expected of an encyclopedia article. Entries should be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources. Please rewrite your submission in a more encyclopedic format. Please make sure to avoid
peacock terms that promote the subject. Declined by
Greenman 12 months ago. |
Ig Ibert Bittencourt | |
---|---|
Born | May 7, 1982 Brazil |
Nationality | Brazilian |
Citizenship | Brazil |
Occupation(s) | Psychologist, Computer Scientist, Teacher, Researcher and Author |
Awards | National Order of Educational Merit |
Academic background | |
Education | B.S., in System Analysis
B.S., in Psychology M.S., in Computer Science Ph.D., in Computer Science |
Doctoral advisor | Evandro de Barros Costa... [1] |
Academic work | |
Institutions | Federal University of Alagoas
Harvard University University of São Paulo |
Website | https://www.linkedin.com/in/ig-ibert-bittencourt-984197a/ |
Ig Ibert Bittencourt (born on May 7, 1982) is a Brazilian computer scientist and psychologist known for his contributions to the education and technology fields. He currently holds the position of Associate Professor at the Federal University of Alagoas (UFAL) in Brazil [2]. Bittencourt's research focuses on various domains, including artificial intelligence in education, intelligent tutoring systems, collaborative learning, blended learning, flow theory, positive education, and stereotype threat. He has written or co-written over 200 academic articles [3].
Bittencourt is recognized as one of the founders and board members of the Center for Excellence in Social Technologies (NEES), an institution dedicated to research, practical application, and policy development in the areas of learning technology, educational psychology, and equity. [4]
In 2003, Bittencourt received his undergraduate degree in System Analysis from the Centro de Estudos Superiores de Maceió (CESMAC). He further achieved a master's degree in Computer Science from UFAL in 2006, followed by completing his Ph.D. at the Federal University of Campina Grande (UFCG) in 2009. His Ph.D. thesis was entitled "A computational model for the construction of adaptive and semantic educational systems" [5]. He published a paper on his Ph.D. in the Knowledge-Based Systems Journal [6]. Subsequently, he pursued another undergraduate degree in Psychology from UFAL in 2022. He embarked on postdoctoral studies at the State University of Campinas (UNICAMP) until 2013. Currently, Bittencourt serves as a visiting scholar at the Harvard Graduate School of Education (HGSE) [7]
After completing his B.S., Bittencourt began his career in education by working as a teacher at the Centro de Estudos Superior de Maceió (CESMAC) until 2006, the same year he completed his M.S. degree. In 2008, Bittencourt started working as an Associate Professor at the Federal University of Alagoas (Brazil), a position he still holds. The beginning of his involvement in the academic community was in 2005 when he became a member of the Brazilian Computer Society (SBC), where he would later serve as the coordinator of the Special Committee on Information Technology in Education (CEIE) [8], from 2015 to 2016 [9].
During his PH.D. in 2009, Bittencourt proposed a theoretical and computational model for the development of Educational Systems based on the Semantic Web. He has been focusing his research and work on developing intelligent educational technologies that foster equitable learning and well-being. He has already collaborated with several research groups in Brazil and abroad. He was a visiting researcher at the University of Mannheim in 2009, at the Japan Advanced Institute of Science and Technology and the University of São Paulo in 2015, at the University of Saskatchewan im 2007 and later in 2016, and in Beijing Normal University from 2019 to 2021. Presently, he is a Visiting Scholar at the Harvard Graduate School of Education (HGSE). [10]
In 2011, Bittencourt co-founded the NEES (Center for Excellence in Social Technologies), a research, practice, and policy center focused on educational equity [4]. The center now has more than 700 students, researchers, and professors working in partnership with different entities to promote educational equity [11]. Over the past decade, the center has been involved with public policies in education alongside various stakeholders, such as the Ministry of Education, National Education Council, Senate, State Secretaries of Education, World Bank, IDB, CIEB, Lemann Foundation, and others [12].
He participated in the production and publication of several books, including: "Dados Abertos Conectados: Em Busca da Web do Conhecimento" in 2015 [13], "Higher Education for All. From Challenges to Novel Technology-Enhanced Solutions" in 2017 [14], and "Tailored Gamification to Educational Technologies" in 2019 [15]. Additionally, he served as one of the editors for the conference proceedings of the "Artificial Intelligence in Education - 21st International Conference" in 2020 [16].
In 2019, by his research contribution, Bittencourt achieved a significant milestone by becoming the first Latin American recipient of the IEEE TCLT Early Career Researcher Award [17] [18]. His work on educational practice and policy was further recognized when he received the National Order of Education Merit in 2022, from the Ministry of Education of Brazil, also known as MEC [19].
Bittencourt has been involved in educational technology conferences and events. In 2018, he was a member of the Program Committee at the 19th International Conference on Artificial Intelligence in Education (AIED) [20] and presented a workshop titled "Gamification of Intelligent Educational Systems" [21]. In the same year, he also delivered a lecture on "Gamification and Intelligent Learning Environments: From Theories to Evidences" at Beijing University [22].
In 2019, he participated in the General Chair Committee at the International Conference on Advanced Learning Technologies and Technology-enhanced (ICALT) [23]. In 2020 he was a member of the Organizing Committee for the 21st International Conference on AIED [24]. His work in conferences extended to 2021 when he participated in the presentation "AI for Education in Brazil" at the 2021 Global Online Conference of the Empowering Learners for the Age of AI [25].
He recently served as a member of the Program Committee for the Empowering Learners for the Age of AI (ELAI) [26] and is listed as one of the guest editors for an upcoming Special Issue on AIED in the Global South [27]. During his time as a Visiting Scholar at the Harvard Graduate School of Education (HGSE), his "Algorithmic Fairness in Brazilian Education" project received recognition and funding through an award from the Lemann Brazil Research Fund 2023. [28]
Over recent years, Bittencourt and his team have explored the intersection of psychological theories and computational models to gain insights into learning processes and enhance student well-being in two ways. The first delves into the negative impact of gender-stereotyped educational technologies on learning and well-being, exacerbating inequities (SDG5). Stereotype threat theory suggests that individuals from stigmatized groups may underperform due to concerns about confirming negative societal stereotypes [29] [30] [31] [32]. Through extensive research, including a recent study published in a Nature Journal [33], Bittencourt and his team revealed that approximately two billion registered students worldwide are affected by gender-stereotyped educational technologies.
The second focuses on investigating pedagogical interventions using intelligent technologies to optimize the learning experience (SDG4). Drawing from flow theory [34], which is extensively studied in positive psychology, he explores programs and curricula to promote well-being and learning. Through years of research, Bittencourt and his team have demonstrated the potential to design and utilize educational technologies that simultaneously enhance learning and well-being [35] [36] [37] [38]. Their contribution is developing a unique framework called GamiFlow, which facilitates the design of gamified educational systems that promote both learning and well-being [39]. His work is dedicated to the UN Sustainable Development Goals, particularly SDG4 and SDG5.
Bittencourt's previous research on flow theory and stereotype threat paved the way for him to help establish a new research subfield: the Positive Artificial Intelligence in Education (P-AIED). P-AIED focuses on using AI to promote learning and well-being in educational settings, emphasizing the development of individual strengths and integrating positive education principles [40].
- meet any of the
eight academic-specific criteria
- or cite multiple
reliable,
secondary sources
independent of the subject, which cover the subject in some depth
Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia.