Philip Klobucar
Associate Professor, Department of Humanities and Social Sciences
- andrew.klobucar@njit.edu
- 973-596-5724
- 428 Cullimore Hall (CULM)
About Me
Andrew Klobucar is an Associate Professor and the Director of Communication and Media at the New Jersey Institute of Technology in Newark, New Jersey. He specializes in literary and media research in the ongoing development of multi-modal writing for the literary arts, learning design, and social media. He teaches interactive, creative production for nearly all sectors of industry and society.
My current publications continue to closely align with my research interests, focusing on the rapid development of media technologies, with a particular emphasis on the significance of Generative Pre-trained Transformers (GPT) from their emergence in the first decade of the current century to their evolution over the last 20 years. When first developed, their capacity to transform or produce media was confined to text and corpus linguistic tools built primarily for structural analyses of pre-written texts. Clearly, their current capacities to generate nearly all forms of media with less and less human input, through prompt engineering, have ushered in an entirely new epoch in media production. GPTs and their use throughout all professional media production studios now reveal some of the most significant challenges to education as well as all modes of original media composition. Research in this area aims to devise an adequate epistemological response to what is becoming a crisis situation on all cultural and political-economic fronts.
My current publications continue to closely align with my research interests, focusing on the rapid development of media technologies, with a particular emphasis on the significance of Generative Pre-trained Transformers (GPT) from their emergence in the first decade of the current century to their evolution over the last 20 years. When first developed, their capacity to transform or produce media was confined to text and corpus linguistic tools built primarily for structural analyses of pre-written texts. Clearly, their current capacities to generate nearly all forms of media with less and less human input, through prompt engineering, have ushered in an entirely new epoch in media production. GPTs and their use throughout all professional media production studios now reveal some of the most significant challenges to education as well as all modes of original media composition. Research in this area aims to devise an adequate epistemological response to what is becoming a crisis situation on all cultural and political-economic fronts.
Education
Ph.D.; University of British Columbia; Postwar American Poetry; 1999
M.S.; Edinburgh University; Literary Theory; 1992
B.A.; University of Toronto; English; 1991
Office Hours
W/F 11:30-12:30
Website
2026 Fall Courses
IS 701B - MASTER'S THESIS
IT 488 - INDEPENDENT STUDY
IS 488 - INDEPENDENT STUDY IN INFO
IS 792 - PRE-DOCTORAL RESEARCH
IS 790A - DOCT DISSERTATION & RES
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 726 - INDEPENDENT STUDY II
IS 776 - IS RESEARCH STUDY
IS 491 - SENIOR PROJECT - IS
IS 700B - MASTER'S PROJECT
IS 725 - INDEPENDENT STUDY I
Teaching Interests
Literary Theory, Media Studies, Communication Theory, Social Media Practices, Composition, Digital and Programmable Literature, Technology and Education, History of Technology, Sound production and creative sound art.
Past Courses
Research Interests
My research continues to advance along two distinct but strongly interrelated lines of study: the development and application of digital programming and multimedia technologies in the literary arts and the continued refinement of social media networking in university-level pedagogy through ongoing advancements in software development. For almost a century, the literary arts have provided important genres and disciplines that have especially supported experiments in proceduralist-driven cultural production. My research and publications generally argue that efforts to build computer programs for creative language use began as early as the 1950s with Christopher Strachey’s and Alan Turing’s unique attempts to combine literary formats to separate computational models capable of generating readable poetry and fiction. Most Humanities-based researchers, including myself, agree that artworks, regardless of media format, fall under the larger aesthetic category of proceduralism. Currently, my work both in the classroom and at conferences focuses on recent software developments in proceduralism to automate all social communication through AI and Large Language Models (LLM), where Application Programming Interfaces (API) are now capable of attaching writing and information gathering tools to immense neural networks able to process nearly billions of unlabeled text combinations in all genres using near-spontaneous, self-learning procedures. Such developments, I believe, will have a profound impact on how digital communication and education are practiced, as well as how individual courses will be taught, in the immediate future.
Chapter
Creative Writing
Journal Article
Software
Conference Proceeding
Conference Paper